Detailed Program
Day 1
12 Dec 2016
Day 2
13 Dec 2016
Day 3
14 Dec 2016
Day 4
15 Dec 2016
09:00-10:30
Workshop Sessions
Full-Day Workshops
DaMNet Data Mining in Networks. Workshop Chair/s: Giuseppe Di Fatta. Room A2.
DMHAA Data Mining in Human Activity Analysis. Workshop Chair/s: Weifeng Liu. Room S3.
DMS Data Mining for Service. Workshop Chair/s: Katsutoshi Yada and Shusaku Tsumoto. Room S5.
DSBDA Data Science and Big Data Analytics. Workshop Chair/s: Xiaolong Jin. Room A1.
MoDAT Data Market for Co-evolution of Sciences and Business. Workshop Chair/s: Jun Nakamura and Yukio Ohsawa. Room S7.
SENTIRE Sentiment Elicitation from Natural Text for Information Retrieval and Extraction. Workshop Chair/s: Erik Cambria. Room S4.
SSTDM Spatial and Spatiotemporal Data Mining. Workshop Chair/s: Raju Vatsavai. Room S12.
Half-day Workshops
DAPS Data mining for the Analysis of Performance and Success. Workshop Chair/s: Luca Pappalardo, Paolo Cintia and Roberta Sinatra. Room S6.
DMBIH Data Mining in Biomedical Informatics and Healthcare. Workshop Chair/s: José D. Martín-Guerrero and Paulo J. G. Lisboa (keynote speaker). Room S9.
DMED I Data Mining in Emerging Domains I. Workshop Chair/s: Cèsar Ferri and Fabio Mazzarella. Room S11.
PDDM Privacy and Discrimination in Data Mining. Workshop Chair/s: Sara Hajian, Tamir Tassa and Yucel Saygin. Room A3.
SOMERIS Social Media and Risk. Workshop Chair/s: Fragkiskos Malliaros and Michalis Vazirgiannis. Room S10.
DaMNet Data Mining in Networks. Workshop Chair/s: Giuseppe Di Fatta. Room A2.
DMHAA Data Mining in Human Activity Analysis. Workshop Chair/s: Weifeng Liu. Room S3.
DMS Data Mining for Service. Workshop Chair/s: Katsutoshi Yada and Shusaku Tsumoto. Room S5.
DSBDA Data Science and Big Data Analytics. Workshop Chair/s: Xiaolong Jin. Room A1.
MoDAT Data Market for Co-evolution of Sciences and Business. Workshop Chair/s: Jun Nakamura and Yukio Ohsawa. Room S7.
SENTIRE Sentiment Elicitation from Natural Text for Information Retrieval and Extraction. Workshop Chair/s: Erik Cambria. Room S4.
SSTDM Spatial and Spatiotemporal Data Mining. Workshop Chair/s: Raju Vatsavai. Room S12.
Half-day Workshops
DAPS Data mining for the Analysis of Performance and Success. Workshop Chair/s: Luca Pappalardo, Paolo Cintia and Roberta Sinatra. Room S6.
DMBIH Data Mining in Biomedical Informatics and Healthcare. Workshop Chair/s: José D. Martín-Guerrero and Paulo J. G. Lisboa (keynote speaker). Room S9.
DMED I Data Mining in Emerging Domains I. Workshop Chair/s: Cèsar Ferri and Fabio Mazzarella. Room S11.
- DWA Data Wrangling Automation
- MDDM Maritime Domain Data Mining
PDDM Privacy and Discrimination in Data Mining. Workshop Chair/s: Sara Hajian, Tamir Tassa and Yucel Saygin. Room A3.
SOMERIS Social Media and Risk. Workshop Chair/s: Fragkiskos Malliaros and Michalis Vazirgiannis. Room S10.
09:00-10:30
Room S2
PhD Forum
Invited talk
"Challenges, problem selection, and impact: A biased perspective on PhD studies"
Alexandra Olteanu
Student presentations
“Subspace Clustering Ensembles through Tensor Decomposition”
Dominik Mautz, Christian Böhm, and Claudia Plant
“Clustering with the Levy Walk: ‘Hunting’ for Clusters”
Benjamin Schelling and Claudia Plant
“Infer Mobility Patterns and Social Dynamics for Modelling Human Behaviour”
Luca Luceri
"Challenges, problem selection, and impact: A biased perspective on PhD studies"
Alexandra Olteanu
Student presentations
“Subspace Clustering Ensembles through Tensor Decomposition”
Dominik Mautz, Christian Böhm, and Claudia Plant
“Clustering with the Levy Walk: ‘Hunting’ for Clusters”
Benjamin Schelling and Claudia Plant
“Infer Mobility Patterns and Social Dynamics for Modelling Human Behaviour”
Luca Luceri
10:30-11:00
Coffee Break
11:00-13:00
Workshop Sessions
Full-Day Workshops
DaMNet Data Mining in Networks. Workshop Chair/s: Giuseppe Di Fatta. Room A2.
DMHAA Data Mining in Human Activity Analysis. Workshop Chair/s: Weifeng Liu. Room S3.
DMS Data Mining for Service. Workshop Chair/s: Katsutoshi Yada and Shusaku Tsumoto. Room S5.
DSBDA Data Science and Big Data Analytics. Workshop Chair/s: Xiaolong Jin. Room A1.
MoDAT Data Market for Co-evolution of Sciences and Business. Workshop Chair/s: Jun Nakamura and Yukio Ohsawa. Room S7.
SENTIRE Sentiment Elicitation from Natural Text for Information Retrieval and Extraction. Workshop Chair/s: Erik Cambria. Room S4.
SSTDM Spatial and Spatiotemporal Data Mining. Workshop Chair/s: Raju Vatsavai. Room S12.
Half-day Workshops
DAPS Data mining for the Analysis of Performance and Success. Workshop Chair/s: Luca Pappalardo, Paolo Cintia and Roberta Sinatra. Room S6.
DMBIH Data Mining in Biomedical Informatics and Healthcare. Workshop Chair/s: José D. Martín-Guerrero and Paulo J. G. Lisboa (keynote speaker). Room S9.
DMED I Data Mining in Emerging Domains I. Workshop Chair/s: Cèsar Ferri and Fabio Mazzarella. Room S11.
PDDM Privacy and Discrimination in Data Mining. Workshop Chair/s: Sara Hajian, Tamir Tassa and Yucel Saygin. Room A3.
SOMERIS Social Media and Risk. Workshop Chair/s: Fragkiskos Malliaros and Michalis Vazirgiannis. Room S10.
DaMNet Data Mining in Networks. Workshop Chair/s: Giuseppe Di Fatta. Room A2.
DMHAA Data Mining in Human Activity Analysis. Workshop Chair/s: Weifeng Liu. Room S3.
DMS Data Mining for Service. Workshop Chair/s: Katsutoshi Yada and Shusaku Tsumoto. Room S5.
DSBDA Data Science and Big Data Analytics. Workshop Chair/s: Xiaolong Jin. Room A1.
MoDAT Data Market for Co-evolution of Sciences and Business. Workshop Chair/s: Jun Nakamura and Yukio Ohsawa. Room S7.
SENTIRE Sentiment Elicitation from Natural Text for Information Retrieval and Extraction. Workshop Chair/s: Erik Cambria. Room S4.
SSTDM Spatial and Spatiotemporal Data Mining. Workshop Chair/s: Raju Vatsavai. Room S12.
Half-day Workshops
DAPS Data mining for the Analysis of Performance and Success. Workshop Chair/s: Luca Pappalardo, Paolo Cintia and Roberta Sinatra. Room S6.
DMBIH Data Mining in Biomedical Informatics and Healthcare. Workshop Chair/s: José D. Martín-Guerrero and Paulo J. G. Lisboa (keynote speaker). Room S9.
DMED I Data Mining in Emerging Domains I. Workshop Chair/s: Cèsar Ferri and Fabio Mazzarella. Room S11.
- DWA Data Wrangling Automation
- MDDM Maritime Domain Data Mining
PDDM Privacy and Discrimination in Data Mining. Workshop Chair/s: Sara Hajian, Tamir Tassa and Yucel Saygin. Room A3.
SOMERIS Social Media and Risk. Workshop Chair/s: Fragkiskos Malliaros and Michalis Vazirgiannis. Room S10.
11:00-13:00
Room S2
PhD Forum
Invited talk
"Top Ten List of Things That I’ve Learned Advising PhD Students"
Tina Eliassi-Rad
Student presentations
“A Semi-Supervised Ensemble Approach for Multi-Label Learning”
Ouadie Gharroudi, Haytham Elghazel, and Alex Aussem
“Similarity Tree Pruning: a novel dynamic ensemble selection approach”
Anil Narassiguin, Haytham Elghazel, and Alex Aussem
“A Novel Bayesian Ensemble Pruning Method”
Zhengshen Jiang, Hongzhi Liu, Bin Fu, and Zhonghai Wu
“A novel pre-classification based kNN algorithm”
Huahua Xie, Dong Liang, Hao Jin, Zhaojing Zhang, and Shizhan Lan
"Top Ten List of Things That I’ve Learned Advising PhD Students"
Tina Eliassi-Rad
Student presentations
“A Semi-Supervised Ensemble Approach for Multi-Label Learning”
Ouadie Gharroudi, Haytham Elghazel, and Alex Aussem
“Similarity Tree Pruning: a novel dynamic ensemble selection approach”
Anil Narassiguin, Haytham Elghazel, and Alex Aussem
“A Novel Bayesian Ensemble Pruning Method”
Zhengshen Jiang, Hongzhi Liu, Bin Fu, and Zhonghai Wu
“A novel pre-classification based kNN algorithm”
Huahua Xie, Dong Liang, Hao Jin, Zhaojing Zhang, and Shizhan Lan
13:00-14:30
Lunch Break
14:30-16:10
Workshop Sessions
Full-Day Workshops
DaMNet Data Mining in Networks. Workshop Chair/s: Giuseppe Di Fatta. Room A2.
DMHAA Data Mining in Human Activity Analysis. Workshop Chair/s: Weifeng Liu. Room S3.
DMS Data Mining for Service. Workshop Chair/s: Katsutoshi Yada and Shusaku Tsumoto. Room S5.
DSBDA Data Science and Big Data Analytics. Workshop Chair/s: Xiaolong Jin. Room A1.
MoDAT Data Market for Co-evolution of Sciences and Business. Workshop Chair/s: Jun Nakamura and Yukio Ohsawa. Room S7.
SENTIRE Sentiment Elicitation from Natural Text for Information Retrieval and Extraction. Workshop Chair/s: Erik Cambria. Room S4.
SSTDM Spatial and Spatiotemporal Data Mining. Workshop Chair/s: Raju Vatsavai. Room S12.
Half-Day Workshops
CLOUDMINE + DMIoT. Workshop Chair/s: Vani Mandava, David Carrera and Soundar Srinivasan. Room A4.
DMED II Data Mining in Emerging Domains II. Workshop Chair/s: Alicia Troncoso, Irena Koprinska and Jeremiah Deng. Room S11.
OEDM Optimization Based Techniques for Emerging Data Mining. Workshop Chair/s: Zhensong Chen. Room A3.
SERecSys Semantics-Enabled Recommender Systems. Workshop Chair/s: Ludovico Boratto and Giovanni Stilo. Room S10.
DaMNet Data Mining in Networks. Workshop Chair/s: Giuseppe Di Fatta. Room A2.
DMHAA Data Mining in Human Activity Analysis. Workshop Chair/s: Weifeng Liu. Room S3.
DMS Data Mining for Service. Workshop Chair/s: Katsutoshi Yada and Shusaku Tsumoto. Room S5.
DSBDA Data Science and Big Data Analytics. Workshop Chair/s: Xiaolong Jin. Room A1.
MoDAT Data Market for Co-evolution of Sciences and Business. Workshop Chair/s: Jun Nakamura and Yukio Ohsawa. Room S7.
SENTIRE Sentiment Elicitation from Natural Text for Information Retrieval and Extraction. Workshop Chair/s: Erik Cambria. Room S4.
SSTDM Spatial and Spatiotemporal Data Mining. Workshop Chair/s: Raju Vatsavai. Room S12.
Half-Day Workshops
CLOUDMINE + DMIoT. Workshop Chair/s: Vani Mandava, David Carrera and Soundar Srinivasan. Room A4.
- CLOUDMINE Data Mining Systems and their Applications on the Cloud
- DMIoT Data Mining for Internet of Things
DMED II Data Mining in Emerging Domains II. Workshop Chair/s: Alicia Troncoso, Irena Koprinska and Jeremiah Deng. Room S11.
- DaMEMO Data Mining for Energy Modelling and Optimization
- DMiP Data Mining in Politics
OEDM Optimization Based Techniques for Emerging Data Mining. Workshop Chair/s: Zhensong Chen. Room A3.
SERecSys Semantics-Enabled Recommender Systems. Workshop Chair/s: Ludovico Boratto and Giovanni Stilo. Room S10.
14:30-16:10
Room S2
PhD Forum
Tutorial
"The data scientist's guide for writing papers"
Nikolaj Tatti
"The data scientist's guide for writing papers"
Nikolaj Tatti
16:10-16:30
Coffee Break
16:30-18:10
Workshop Sessions
Full-Day Workshops
DaMNet Data Mining in Networks. Workshop Chair/s: Giuseppe Di Fatta. Room A2.
DMHAA Data Mining in Human Activity Analysis. Workshop Chair/s: Weifeng Liu. Room S3.
DMS Data Mining for Service. Workshop Chair/s: Katsutoshi Yada and Shusaku Tsumoto. Room S5.
DSBDA Data Science and Big Data Analytics. Workshop Chair/s: Xiaolong Jin. Room A1.
MoDAT Data Market for Co-evolution of Sciences and Business. Workshop Chair/s: Jun Nakamura and Yukio Ohsawa. Room S7.
SENTIRE Sentiment Elicitation from Natural Text for Information Retrieval and Extraction. Workshop Chair/s: Erik Cambria. Room S4.
SSTDM Spatial and Spatiotemporal Data Mining. Workshop Chair/s: Raju Vatsavai. Room S12.
Half-Day Workshops
CLOUDMINE + DMIoT. Workshop Chair/s: Vani Mandava, David Carrera and Soundar Srinivasan. Room A4.
DMED II Data Mining in Emerging Domains II. Workshop Chair/s: Alicia Troncoso, Irena Koprinska and Jeremiah Deng. Room S11.
OEDM Optimization Based Techniques for Emerging Data Mining. Workshop Chair/s: Zhensong Chen. Room A3.
SERecSys Semantics-Enabled Recommender Systems. Workshop Chair/s: Ludovico Boratto and Giovanni Stilo. Room S10.
DaMNet Data Mining in Networks. Workshop Chair/s: Giuseppe Di Fatta. Room A2.
DMHAA Data Mining in Human Activity Analysis. Workshop Chair/s: Weifeng Liu. Room S3.
DMS Data Mining for Service. Workshop Chair/s: Katsutoshi Yada and Shusaku Tsumoto. Room S5.
DSBDA Data Science and Big Data Analytics. Workshop Chair/s: Xiaolong Jin. Room A1.
MoDAT Data Market for Co-evolution of Sciences and Business. Workshop Chair/s: Jun Nakamura and Yukio Ohsawa. Room S7.
SENTIRE Sentiment Elicitation from Natural Text for Information Retrieval and Extraction. Workshop Chair/s: Erik Cambria. Room S4.
SSTDM Spatial and Spatiotemporal Data Mining. Workshop Chair/s: Raju Vatsavai. Room S12.
Half-Day Workshops
CLOUDMINE + DMIoT. Workshop Chair/s: Vani Mandava, David Carrera and Soundar Srinivasan. Room A4.
- CLOUDMINE Data Mining Systems and their Applications on the Cloud
- DMIoT Data Mining for Internet of Things
DMED II Data Mining in Emerging Domains II. Workshop Chair/s: Alicia Troncoso, Irena Koprinska and Jeremiah Deng. Room S11.
- DaMEMO Data Mining for Energy Modelling and Optimization
- DMiP Data Mining in Politics
OEDM Optimization Based Techniques for Emerging Data Mining. Workshop Chair/s: Zhensong Chen. Room A3.
SERecSys Semantics-Enabled Recommender Systems. Workshop Chair/s: Ludovico Boratto and Giovanni Stilo. Room S10.
16:30-18:10
Room S2
PhD Forum
Student presentations
“Improving the Prediction Cost of Drift Handling Algorithms by Abstaining”
Pierre-Xavier Loeffel, Vincent Lemaire, Christophe Marsala, and Marcin Detyniecki
“Hidden Structures at a Glance”
Remy Dautriche, Alexandre Termier, Renaud Blanch, and Miguel Santana
“Centrality-based Approach for Supervised Term Weighting”
Niloofer Shanavas, Hui Wang, Zhiwei Lin, and Glenn Hawe
“Applying Deep Learning to Stereotypical Motor Movement Detection in Autism Spectrum Disorders”
Nastaran Mohammadian Rad and Cesare Furlanello
“Regression techniques for modelling conception in seasonally calving dairy cows”
Caroline Fenlon, Luke O’Grady, Michael Doherty, Stephen Butler, Laurence Shalloo, and John Dunnion
“Sacrificing overall classification quality to improve classification accuracy of well-sought classes”
Kevin Amaral, Ping Chen, Wei Ding, and Rajani Sadasivam
“Improving the Prediction Cost of Drift Handling Algorithms by Abstaining”
Pierre-Xavier Loeffel, Vincent Lemaire, Christophe Marsala, and Marcin Detyniecki
“Hidden Structures at a Glance”
Remy Dautriche, Alexandre Termier, Renaud Blanch, and Miguel Santana
“Centrality-based Approach for Supervised Term Weighting”
Niloofer Shanavas, Hui Wang, Zhiwei Lin, and Glenn Hawe
“Applying Deep Learning to Stereotypical Motor Movement Detection in Autism Spectrum Disorders”
Nastaran Mohammadian Rad and Cesare Furlanello
“Regression techniques for modelling conception in seasonally calving dairy cows”
Caroline Fenlon, Luke O’Grady, Michael Doherty, Stephen Butler, Laurence Shalloo, and John Dunnion
“Sacrificing overall classification quality to improve classification accuracy of well-sought classes”
Kevin Amaral, Ping Chen, Wei Ding, and Rajani Sadasivam
“Generating Informative Summary of Social Image Search Result”
Sheetal Takale and Prakash Kulkarni
Sheetal Takale and Prakash Kulkarni
09:00-09:30
Auditorium
Opening
Ricardo Baeza-Yates (NTENT, USA / UPF, Spain)
Zhi-Hua Zhou (Nanjing University)
Francesco Bonchi (ISI Foundation, Italy / Eurecat, Spain)
Josep Domingo-Ferrer (URV, Spain)
Zhi-Hua Zhou (Nanjing University)
Francesco Bonchi (ISI Foundation, Italy / Eurecat, Spain)
Josep Domingo-Ferrer (URV, Spain)
9:30-10:30
Auditorium
Keynote 1
Deep Learning
Yoshua Bengio, University of Montreal
Session Chair: Ricardo Baeza (NTENT, USA / UPF, Spain)
10:30-11:00
Coffee Break
11:00 - 13:00
Auditorium
Session A1: Deep Learning
Session Chair: Wei Ding (University of Massachusetts Boston, USA)
REGULAR PAPERS:
DM558 "Regularizing Deep Convolutional Neural Networks with a Structured Decorrelation Constraint"
Wei Xiong, Bo Du, Lefei Zhang, and Dacheng Tao
DM613 "Traffic Speed Prediction and Congestion Source Exploration: A Deep Learning Method"
Jingyuan Wang, Qian Gu, Junjie Wu, Guannan Liu, and Zhang Xiong
DM714 "Model Accuracy and Runtime Tradeoff in Distributed Deep Learning: A Systematic Study"
Wei Zhang, Suyog Gupta, and Fei Wang
DM976 "Convolutional MKL Based Multimodal Emotion Recognition and Sentiment Analysis"
Iti Chaturvedi, Soujanya Poria, and Erik Cambria
SHORT PAPERS:
DM390 "Structure Selection for Convolutive Non-negative Matrix Factorization Using Normalized Maximum Likelihood Coding"
Atsushi Suzuki, Kohei Miyaguchi, and Kenji Yamanishi
DM679 "Product-based Neural Networks for User Response Prediction"
Yanru Qu, Han Cai, Kan Ren, Weinan Zhang, and Yong Yu
DM933 "Deep Convolutional Factor Analyser for Multivariate Time Series Modeling"
Chao Yuan
DM945 "Learning Deep Networks from Noisy Labels with Dropout Regularization"
Ishan Jindal, Matthew Nokleby, and Xuewen Chen
REGULAR PAPERS:
DM558 "Regularizing Deep Convolutional Neural Networks with a Structured Decorrelation Constraint"
Wei Xiong, Bo Du, Lefei Zhang, and Dacheng Tao
DM613 "Traffic Speed Prediction and Congestion Source Exploration: A Deep Learning Method"
Jingyuan Wang, Qian Gu, Junjie Wu, Guannan Liu, and Zhang Xiong
DM714 "Model Accuracy and Runtime Tradeoff in Distributed Deep Learning: A Systematic Study"
Wei Zhang, Suyog Gupta, and Fei Wang
DM976 "Convolutional MKL Based Multimodal Emotion Recognition and Sentiment Analysis"
Iti Chaturvedi, Soujanya Poria, and Erik Cambria
SHORT PAPERS:
DM390 "Structure Selection for Convolutive Non-negative Matrix Factorization Using Normalized Maximum Likelihood Coding"
Atsushi Suzuki, Kohei Miyaguchi, and Kenji Yamanishi
DM679 "Product-based Neural Networks for User Response Prediction"
Yanru Qu, Han Cai, Kan Ren, Weinan Zhang, and Yong Yu
DM933 "Deep Convolutional Factor Analyser for Multivariate Time Series Modeling"
Chao Yuan
DM945 "Learning Deep Networks from Noisy Labels with Dropout Regularization"
Ishan Jindal, Matthew Nokleby, and Xuewen Chen
11:00-13:00
Room A2+A3
Session B1: Patterns
Session Chair: Jilles Vreeken (MPI, Germany)
REGULAR PAPERS:
DM257 "A Scalable and Generic framework to Mine Top-k Representative Subgraph Patterns"
Dheepikaa Natarajan and Sayan Ranu
DM267 "CoreScope: Graph Mining Using k-Core Analysis - Patterns, Anomalies, and Algorithms"
Kijung Shin, Tina Eliassi-Rad, and Christos Faloutsos
DM319 "Mining Graphlet Counts in Online Social Networks"
Xiaowei Chen and John C. S. Lui
DM912 "On Efficient External-Memory Triangle Listing"
Yi Cui, Di Xiao, and Dmitri Loguinov
DM377 "Bi-level Rare Temporal Pattern Detection"
Dawei Zhou, Jingrui He, Yu Cao, and Jae-sun Seo
SHORT PAPERS:
DM1056 "Direct Mining of Subjectively Interesting Relational Patterns"
Tias Guns, Achille Aknin, Jefrey Lijffijt, and Tijl De Bie
DM1106 "Mining Statistically Significant Attribute Associations in Attributed Graphs"
Jihwan Lee, Keehwan Park, and Sunil Prabhakar
REGULAR PAPERS:
DM257 "A Scalable and Generic framework to Mine Top-k Representative Subgraph Patterns"
Dheepikaa Natarajan and Sayan Ranu
DM267 "CoreScope: Graph Mining Using k-Core Analysis - Patterns, Anomalies, and Algorithms"
Kijung Shin, Tina Eliassi-Rad, and Christos Faloutsos
DM319 "Mining Graphlet Counts in Online Social Networks"
Xiaowei Chen and John C. S. Lui
DM912 "On Efficient External-Memory Triangle Listing"
Yi Cui, Di Xiao, and Dmitri Loguinov
DM377 "Bi-level Rare Temporal Pattern Detection"
Dawei Zhou, Jingrui He, Yu Cao, and Jae-sun Seo
SHORT PAPERS:
DM1056 "Direct Mining of Subjectively Interesting Relational Patterns"
Tias Guns, Achille Aknin, Jefrey Lijffijt, and Tijl De Bie
DM1106 "Mining Statistically Significant Attribute Associations in Attributed Graphs"
Jihwan Lee, Keehwan Park, and Sunil Prabhakar
11:00-13:00
Room A4
Session C1: Urban and mobility data
Session Chair: Charu Aggarwal (IBM Research, USA)
REGULAR PAPERS:
DM525 "Unsupervised Exceptional Attributed Sub-graph Mining in Urban Data"
Anes Bendimerad, Marc Plantevit, and Céline Robardet
DM535 "POI Recommendation: A Temporal Matching between POI Popularity and User Regularity"
Zijun Yao, Yanjie Fu, Bin Liu, Yanchi Liu, and Hui Xiong
DM649 "The Optimal Distribution of Electric-Vehicle Chargers across A City"
Chen Liu, Ke Deng, Chaojie Li, Jianxin Li, Yanhua Li, and Jun Luo
DM1047 "Relief of Spatiotemporal Accessibility Overloading with Optimal Resource Placement"
Chien-Wei Chang, Hao-Yi Chih, Dean Chou, Yu-Chen Shu, and Kun-Ta Chuang
SHORT PAPERS:
DM365 "The Development of a Smart Taxicab Scheduling System: A Multi-Source Data Fusion Perspective"
Yang Wang, Binxin Liang, Zheng Wei, Liusheng Huang, and Hengchang Liu
DM291 "Regularized Content-Aware Tensor Factorization Meets Temporal-Aware Location Recommendation"
Defu Lian, Zhengyu Zhang, Yong Ge, Fuzheng Zhang, Nicholas Jing Yuan, and Xing Xie
DM268 "Modeling Real Estate for School District Identification"
Fei Tan, Chaoran Cheng, and Zhi Wei
DM1093 "House Price Modeling over Heterogeneous Regions with Hierarchical Spatial Functional Analysis"
Bang Liu, Borislalv Mavrin, Di Niu, and Linglong Kong
REGULAR PAPERS:
DM525 "Unsupervised Exceptional Attributed Sub-graph Mining in Urban Data"
Anes Bendimerad, Marc Plantevit, and Céline Robardet
DM535 "POI Recommendation: A Temporal Matching between POI Popularity and User Regularity"
Zijun Yao, Yanjie Fu, Bin Liu, Yanchi Liu, and Hui Xiong
DM649 "The Optimal Distribution of Electric-Vehicle Chargers across A City"
Chen Liu, Ke Deng, Chaojie Li, Jianxin Li, Yanhua Li, and Jun Luo
DM1047 "Relief of Spatiotemporal Accessibility Overloading with Optimal Resource Placement"
Chien-Wei Chang, Hao-Yi Chih, Dean Chou, Yu-Chen Shu, and Kun-Ta Chuang
SHORT PAPERS:
DM365 "The Development of a Smart Taxicab Scheduling System: A Multi-Source Data Fusion Perspective"
Yang Wang, Binxin Liang, Zheng Wei, Liusheng Huang, and Hengchang Liu
DM291 "Regularized Content-Aware Tensor Factorization Meets Temporal-Aware Location Recommendation"
Defu Lian, Zhengyu Zhang, Yong Ge, Fuzheng Zhang, Nicholas Jing Yuan, and Xing Xie
DM268 "Modeling Real Estate for School District Identification"
Fei Tan, Chaoran Cheng, and Zhi Wei
DM1093 "House Price Modeling over Heterogeneous Regions with Hierarchical Spatial Functional Analysis"
Bang Liu, Borislalv Mavrin, Di Niu, and Linglong Kong
11:00-13:00
Room A1
Tutorial 1
Mining smartphone and mobility data
13:00-14:30
Lunch Break
14:30-16:10
Auditorium
Session A2: Clustering
Session Chair: Pauli Mittinen (MPI, Germany)
REGULAR PAPERS:
DM737 "Generalized Independent Subspace Clustering"
Wei Ye, Samuel Maurus, Nina Hubig, and Claudia Plant
DM1021 "Robust Graph-theoretic Clustering Approaches Using Node-Based Resilience Measures"
John Matta, Jeffrey Borwey, Tayo Obafemi-Ajayi, Donald Wunsch, and Gunes Ercal
SHORT PAPERS:
DM396 "Multi-Type Co-clustering of General Heterogeneous Information Networks"
Xianchao Zhang, Haixin Li, Wenxin Liang, and Jiebo Luo
DM565 "Interpretable Clustering via Discriminative Rectangle Mixture Model"
Junxiang Chen, Yale Chang, Brian Hobbs, Peter Castaldi, Michael Cho, Edwin Silverman, and Jennifer Dy
DM577 "Self-Grouping Multi-Network Clustering"
Jingchao Ni, Wei Cheng, Wei Fan, and Xiang Zhang
DM669 "A Theoretical Analysis of the Fuzzy K-Means Problem"
Johannes Blömer, Sascha Brauer, and Kathrin Bujna
DM749 "Multi-View Clustering via Concept Factorization with Local Manifold Regularization"
Hao Wang, Yan Yang, and Tianrui Li
DM972 "Robust Convex Clustering Analysis"
Qi Wang, Pinghua Gong, Shiyu Chang, Thomas Huang, and Jiayu Zhou
REGULAR PAPERS:
DM737 "Generalized Independent Subspace Clustering"
Wei Ye, Samuel Maurus, Nina Hubig, and Claudia Plant
DM1021 "Robust Graph-theoretic Clustering Approaches Using Node-Based Resilience Measures"
John Matta, Jeffrey Borwey, Tayo Obafemi-Ajayi, Donald Wunsch, and Gunes Ercal
SHORT PAPERS:
DM396 "Multi-Type Co-clustering of General Heterogeneous Information Networks"
Xianchao Zhang, Haixin Li, Wenxin Liang, and Jiebo Luo
DM565 "Interpretable Clustering via Discriminative Rectangle Mixture Model"
Junxiang Chen, Yale Chang, Brian Hobbs, Peter Castaldi, Michael Cho, Edwin Silverman, and Jennifer Dy
DM577 "Self-Grouping Multi-Network Clustering"
Jingchao Ni, Wei Cheng, Wei Fan, and Xiang Zhang
DM669 "A Theoretical Analysis of the Fuzzy K-Means Problem"
Johannes Blömer, Sascha Brauer, and Kathrin Bujna
DM749 "Multi-View Clustering via Concept Factorization with Local Manifold Regularization"
Hao Wang, Yan Yang, and Tianrui Li
DM972 "Robust Convex Clustering Analysis"
Qi Wang, Pinghua Gong, Shiyu Chang, Thomas Huang, and Jiayu Zhou
14:30-16:10
Room A2+A3
Session B2: Recommender Systems
Session Chair: Nuria Oliver (Data-Pop Alliance, Spain)
REGULAR PAPERS:
DM554 "Efficient Rectangular Maximal-Volume Algorithm for Rating Elicitation in Collaborative Filtering"
Alexander Fonarev, Alexander Mikhalev, Gleb Gusev, Ivan Oseledets, and Pavel Serdyukov
DM635 "Recommending Packages to Groups"
Shuyao Qi, Nikos Mamoulis, Evaggelia Pitoura, and Panayiotis Tsaparas
DM663 "Fusing Similarity Models with Markov Chains for Sparse Sequential Recommendation"
Ruining He and Julian McAuley
SHORT PAPERS:
DM282 "Context-aware Sequential Recommendation"
Qiang Liu, Shu Wu, and Liang Wang
DM692 "Learning Compatibility Across Categories for Heterogeneous Item Recommendation"
Ruining He, Charles Packer, and Julian McAuley
DM773 "Time-Aware User Identification with Topic Models"
Clément Lesaege, François Schnitzler, Anne Lambert, and Jean-Ronan Vigouroux
DM818 "Whether this participant will attract you to this event? Exploiting Participant Influence for Event Recommendation"
Yi Liao, Xinshi Lin, and Wai Lam
REGULAR PAPERS:
DM554 "Efficient Rectangular Maximal-Volume Algorithm for Rating Elicitation in Collaborative Filtering"
Alexander Fonarev, Alexander Mikhalev, Gleb Gusev, Ivan Oseledets, and Pavel Serdyukov
DM635 "Recommending Packages to Groups"
Shuyao Qi, Nikos Mamoulis, Evaggelia Pitoura, and Panayiotis Tsaparas
DM663 "Fusing Similarity Models with Markov Chains for Sparse Sequential Recommendation"
Ruining He and Julian McAuley
SHORT PAPERS:
DM282 "Context-aware Sequential Recommendation"
Qiang Liu, Shu Wu, and Liang Wang
DM692 "Learning Compatibility Across Categories for Heterogeneous Item Recommendation"
Ruining He, Charles Packer, and Julian McAuley
DM773 "Time-Aware User Identification with Topic Models"
Clément Lesaege, François Schnitzler, Anne Lambert, and Jean-Ronan Vigouroux
DM818 "Whether this participant will attract you to this event? Exploiting Participant Influence for Event Recommendation"
Yi Liao, Xinshi Lin, and Wai Lam
14:30-16:10
Room A4
Session C2: Events and Social
Session Chair: Leman Akoglu (CMU, USA)
REGULAR PAPERS:
DM544 "Multi-resolution Spatial Event Forecasting in Social Media"
Liang Zhao, Feng Chen, Chang-Tien Lu, and Naren Ramakrishnan
DM949 "Event Series Prediction via Non-Homogeneous Poisson Process Modelling"
James Goulding, Simon Preston, and Gavin Smith
SHORT PAPERS:
DM729 "Towards Scalable Network Delay Minimization"
Sourav Medya, Petko Bogdanov, and Ambuj K Singh
DM881 "Detecting Change Processes in Dynamic Networks by Frequent Graph Evolution Rule Mining"
Erik Scharwaechter, Marwan Hassani, Emmanuel Mueller, Thomas Seidl, and Jonathan Donges
DM892 "DeBot: Twitter Bot Detection via Warped Correlation"
Nikan Chavoshi, Hossein Hamooni, and Abdullah Mueen
DM1055 "Modeling Knowledge Diffusion with Time Lags in Citation Networks"
Tao-yang Fu, Zhen Lei, and Wang-Chien Lee
DM1062 "Event Grounding from Multimodal Social Network Fusion"
Hyunsouk Cho, Jinyoung Yeo, and Seung-won Hwang
DM1076 "Large-Scale Embedding Learning in Heterogeneous Event Data"
Huan Gui, Jialu Liu, Fangbo Tao, Meng Jiang, Brandon Norick, and Jiawei Han
REGULAR PAPERS:
DM544 "Multi-resolution Spatial Event Forecasting in Social Media"
Liang Zhao, Feng Chen, Chang-Tien Lu, and Naren Ramakrishnan
DM949 "Event Series Prediction via Non-Homogeneous Poisson Process Modelling"
James Goulding, Simon Preston, and Gavin Smith
SHORT PAPERS:
DM729 "Towards Scalable Network Delay Minimization"
Sourav Medya, Petko Bogdanov, and Ambuj K Singh
DM881 "Detecting Change Processes in Dynamic Networks by Frequent Graph Evolution Rule Mining"
Erik Scharwaechter, Marwan Hassani, Emmanuel Mueller, Thomas Seidl, and Jonathan Donges
DM892 "DeBot: Twitter Bot Detection via Warped Correlation"
Nikan Chavoshi, Hossein Hamooni, and Abdullah Mueen
DM1055 "Modeling Knowledge Diffusion with Time Lags in Citation Networks"
Tao-yang Fu, Zhen Lei, and Wang-Chien Lee
DM1062 "Event Grounding from Multimodal Social Network Fusion"
Hyunsouk Cho, Jinyoung Yeo, and Seung-won Hwang
DM1076 "Large-Scale Embedding Learning in Heterogeneous Event Data"
Huan Gui, Jialu Liu, Fangbo Tao, Meng Jiang, Brandon Norick, and Jiawei Han
14:30-16:10
Room A1
Tutorial 1
Mining smartphone and mobility data
16:10-16:30
Coffee Break
16:30-18:10
Auditorium
Session A3: Unsupervised learning
Session Chair: Vagelis Papalexakis (UC Riverside, USA)
REGULAR PAPERS:
DM336 "Iteratively Reweighted Least Squares Algorithms for L1-Norm Principal Component Analysis"
Young Woong Park and Diego Klabjan
DM383 "Heterogeneous Representation Learning with Structured Sparsity Regularization"
Pei Yang and Jingrui He
DM389 "Triply Stochastic Variational Inference for Non-linear Beta Process Factor Analysis"
Kai Fan, Yizhe Zhang, and Katherine Heller
DM821 "Causal Inference by Compression"
Kailash Budhathoki and Jilles Vreeken
SHORT PAPERS:
DM332 "Factorizing Complex Discrete Data "with Finesse""
Samuel Maurus and Claudia Plant
DM337 "A Fast Factorization-based Approach to Robust Principal Component Analysis"
Chong Peng, Zhao Kang, and Qiang Cheng
REGULAR PAPERS:
DM336 "Iteratively Reweighted Least Squares Algorithms for L1-Norm Principal Component Analysis"
Young Woong Park and Diego Klabjan
DM383 "Heterogeneous Representation Learning with Structured Sparsity Regularization"
Pei Yang and Jingrui He
DM389 "Triply Stochastic Variational Inference for Non-linear Beta Process Factor Analysis"
Kai Fan, Yizhe Zhang, and Katherine Heller
DM821 "Causal Inference by Compression"
Kailash Budhathoki and Jilles Vreeken
SHORT PAPERS:
DM332 "Factorizing Complex Discrete Data "with Finesse""
Samuel Maurus and Claudia Plant
DM337 "A Fast Factorization-based Approach to Robust Principal Component Analysis"
Chong Peng, Zhao Kang, and Qiang Cheng
16:30-18:10
Room A2+A3
Session B3: Crowds
Session Chair: Celine Robardet (INSA Lyon, France)
REGULAR PAPERS:
DM460 "A Bayesian Nonparametric Approach to Dynamic Dyadic Data Prediction"
Fengyuan Zhu, Guangyong Chen, and Pheng-Ann Heng
DM615 "Modeling Ambiguity, Subjectivity, and Diverging Viewpoints in Opinion Question Answering Systems"
Mengting Wan and Julian McAuley
DM890 "Group Preference Aggregation: A Nash Equilibrium Approach"
Hongke Zhao, Qi Liu, and Yong Ge
DM1064 "Binding Pairwise Preferences of the Crowd into Rankings: A Thurstonian Approach"
Xiaolong Wang, Jingjing Wang, Jie Luo, Yi Chang, and Chengxiang Zhai
SHORT PAPERS:
DM568 "Improved and Scalable Bradley-Terry Model for Collaborative Ranking"
Jun Hu and Ping li
DM875 "A Robust Framework for Classifying Evolving Document Streams in an Expert-Machine-Crowd Setting"
Muhammad Imran, Sanjay Chawla, and Carlos Castillo
REGULAR PAPERS:
DM460 "A Bayesian Nonparametric Approach to Dynamic Dyadic Data Prediction"
Fengyuan Zhu, Guangyong Chen, and Pheng-Ann Heng
DM615 "Modeling Ambiguity, Subjectivity, and Diverging Viewpoints in Opinion Question Answering Systems"
Mengting Wan and Julian McAuley
DM890 "Group Preference Aggregation: A Nash Equilibrium Approach"
Hongke Zhao, Qi Liu, and Yong Ge
DM1064 "Binding Pairwise Preferences of the Crowd into Rankings: A Thurstonian Approach"
Xiaolong Wang, Jingjing Wang, Jie Luo, Yi Chang, and Chengxiang Zhai
SHORT PAPERS:
DM568 "Improved and Scalable Bradley-Terry Model for Collaborative Ranking"
Jun Hu and Ping li
DM875 "A Robust Framework for Classifying Evolving Document Streams in an Expert-Machine-Crowd Setting"
Muhammad Imran, Sanjay Chawla, and Carlos Castillo
16:30-18:10
Room A4
Session C3: Text
Session Chair: Erik Cambria (NTU, Singapore)
REGULAR PAPERS:
DM1030 "Learning Hierarchically Decomposable Concepts with Active Over-Labeling"
Yuji Mo, Stephen Scott, and Doug Downey
DM1085 "L-EnsNMF: Boosted Local Topic Discovery via Ensemble of Nonnegative Matrix Factorization"
Sangho Suh, Jaegul Choo, Joonseok Lee, and Chandan Reddy
SHORT PAPERS:
DM292 "Mutual Reinforcement of Academic Performance Prediction and Library Book Recommendation"
Defu Lian, Qi Liu, Wenya Zhu, Xing Xie, and Hui Xiong
DM529 "Topic Discovery for Short Texts Using Word Embeddings"
Guangxu Xun, Vishrawas Gopalakrishnan, Fenglong Ma, Yaliang Li, Jing Gao, and Aidong Zhang
DM745 "Concept based Short Text Stream Classification with Topic Drifting Detection"
Peipei Li, Lu He, Xuegang Hu, Yuhong Zhang, Lei Li, and Xindong Wu
DM817 "A Scalable Framework for Stylometric Analysis Query Processing"
Sarana Nutanong, chenyun YU, Raheem Sarwar, Peter Xu, and Dickson Chow
DM897 "Incorporating Pre-Training in Long Short-Term Memory Networks for Tweets Classification"
Shuhan Yuan, Xintao Wu, and Yang Xiang
DM985 "Canonical Consistent Weighted Sampling for Real-Value Weighted Min-Hash"
Wei Wu, Bin Li, Ling Chen, and Chengqi Zhang
REGULAR PAPERS:
DM1030 "Learning Hierarchically Decomposable Concepts with Active Over-Labeling"
Yuji Mo, Stephen Scott, and Doug Downey
DM1085 "L-EnsNMF: Boosted Local Topic Discovery via Ensemble of Nonnegative Matrix Factorization"
Sangho Suh, Jaegul Choo, Joonseok Lee, and Chandan Reddy
SHORT PAPERS:
DM292 "Mutual Reinforcement of Academic Performance Prediction and Library Book Recommendation"
Defu Lian, Qi Liu, Wenya Zhu, Xing Xie, and Hui Xiong
DM529 "Topic Discovery for Short Texts Using Word Embeddings"
Guangxu Xun, Vishrawas Gopalakrishnan, Fenglong Ma, Yaliang Li, Jing Gao, and Aidong Zhang
DM745 "Concept based Short Text Stream Classification with Topic Drifting Detection"
Peipei Li, Lu He, Xuegang Hu, Yuhong Zhang, Lei Li, and Xindong Wu
DM817 "A Scalable Framework for Stylometric Analysis Query Processing"
Sarana Nutanong, chenyun YU, Raheem Sarwar, Peter Xu, and Dickson Chow
DM897 "Incorporating Pre-Training in Long Short-Term Memory Networks for Tweets Classification"
Shuhan Yuan, Xintao Wu, and Yang Xiang
DM985 "Canonical Consistent Weighted Sampling for Real-Value Weighted Min-Hash"
Wei Wu, Bin Li, Ling Chen, and Chengqi Zhang
16:30-18:10
Room A1
Tutorial 2
Network Representation Learning: A Revisit in Big Data Era
18:10-19:30
Auditorium
Panel
How We Can/Should Handle the Offline vs. Online Data Gap?
Panelists:
Rakesh Agrawal (Data Insights Laboratories, USA),
Ricardo Baeza-Yates (NTENT, USA & UPF, Spain),
Tina Eliassi-Rad (Northeastern Univ., USA),
Katherina Morik (TU Dortmund, Germany), and
Nuria Oliver (DataPop Alliance, Spain)
Moderator: Arno Siebes (Utrecht University, The Netherlands)
Panelists:
Rakesh Agrawal (Data Insights Laboratories, USA),
Ricardo Baeza-Yates (NTENT, USA & UPF, Spain),
Tina Eliassi-Rad (Northeastern Univ., USA),
Katherina Morik (TU Dortmund, Germany), and
Nuria Oliver (DataPop Alliance, Spain)
Moderator: Arno Siebes (Utrecht University, The Netherlands)
19:30-21:00
Port Vell Room
09:30-10:30
Auditorium
Keynote 2
Big Data – Security and Privacy
Elisa Bertino, Purdue University
Session Chair: Josep Domingo-Ferrer (URV, Spain)
10:30-11:00
Coffee Break
11:00-13:00
Auditorium
Session A4: Theory
Session Chair: Aris Gionis (Aalto University, Finland)
REGULAR PAPERS:
DM969 "From Sets of Good Redescriptions to Good Sets of Redescriptions"
Janis Kalofolias, Esther Galbrun, and Pauli Miettinen
DM799 "What Will You Gain By Rounding: Theory and Algorithms for Rounding Rank"
Stefan Neumann, Rainer Gemulla, and Pauli Miettinen
DM960 "ADAGIO: Fast Data-aware Near-Isometric Linear Embeddings"
Jaroslaw Blasiok and Charalampos Tsourakakis
DM1003 "Aligned Matrix Completion: Integrating Consistency and Independency in Multiple Domains"
Linli Xu and Zaiyi Chen
DM1037 "Communities in Preference Networks: Refined Axioms and Beyond"
Gang Zeng, Yuyi Wang, Juhua Pu, Xingwu Liu, Xiaoming Sun, and Jialin Zhang
SHORT PAPERS:
DM603 "Foundations of Perturbation Robust Clustering"
Jarrod Moore and Margareta Ackerman
DM360 "Compressing Random Forests"
Amichai Painsky and Saharon Rosset
REGULAR PAPERS:
DM969 "From Sets of Good Redescriptions to Good Sets of Redescriptions"
Janis Kalofolias, Esther Galbrun, and Pauli Miettinen
DM799 "What Will You Gain By Rounding: Theory and Algorithms for Rounding Rank"
Stefan Neumann, Rainer Gemulla, and Pauli Miettinen
DM960 "ADAGIO: Fast Data-aware Near-Isometric Linear Embeddings"
Jaroslaw Blasiok and Charalampos Tsourakakis
DM1003 "Aligned Matrix Completion: Integrating Consistency and Independency in Multiple Domains"
Linli Xu and Zaiyi Chen
DM1037 "Communities in Preference Networks: Refined Axioms and Beyond"
Gang Zeng, Yuyi Wang, Juhua Pu, Xingwu Liu, Xiaoming Sun, and Jialin Zhang
SHORT PAPERS:
DM603 "Foundations of Perturbation Robust Clustering"
Jarrod Moore and Margareta Ackerman
DM360 "Compressing Random Forests"
Amichai Painsky and Saharon Rosset
11:00-13:00
Room A4
Session C4: Web
Session Chair: Carlos Castillo (Eurecat, Spain)
REGULAR PAPERS:
DM386 "Reliable Gender Prediction Based on Users' Video Viewing Behavior"
Jie Zhang, Kuang Du, Ruihua Cheng, Zhi Wei, Chenguang Qin, Huaxin You, and Sha Hu
DM733 "Efficient Extraction of Non-negative Latent Factors from High-dimensional and Sparse Matrices"
Xin Luo, Mingsheng Shang, and Shuai Li
DM862 "Inferring latent network from cascade data for dynamic social recommendation"
Qin Zhang, Jia Wu, Peng Zhang, Guodong Long, Ivor W. Tsang, and Chengqi Zhang
DM975 "Sparse Factorization Machines for Click-through Rate Prediction"
Zhen Pan, Qi Liu, Tong Xu, Enhong Chen, Haiping Ma, and Hongjie Lin
SHORT PAPERS:
DM533 "Meta Analyses for Dynamic Contextual Multi Arm Bandits in Display Advertisement"
Hongxia Yang and Quan Lu
DM575 "Selecting Valuable Customers for Merchants in E-commerce Platforms"
Yijun Wang, Le Wu, Zongda Wu, Enhong Chen, and Qi Liu
DM589 "Service Usage Analysis in Mobile Messaging Apps: A Multi-Label Multi-View Perspective"
Hui Xiong, Junming Liu, Xinjiang Lu, Yanjie Fu, and Xiaolin Li
REGULAR PAPERS:
DM386 "Reliable Gender Prediction Based on Users' Video Viewing Behavior"
Jie Zhang, Kuang Du, Ruihua Cheng, Zhi Wei, Chenguang Qin, Huaxin You, and Sha Hu
DM733 "Efficient Extraction of Non-negative Latent Factors from High-dimensional and Sparse Matrices"
Xin Luo, Mingsheng Shang, and Shuai Li
DM862 "Inferring latent network from cascade data for dynamic social recommendation"
Qin Zhang, Jia Wu, Peng Zhang, Guodong Long, Ivor W. Tsang, and Chengqi Zhang
DM975 "Sparse Factorization Machines for Click-through Rate Prediction"
Zhen Pan, Qi Liu, Tong Xu, Enhong Chen, Haiping Ma, and Hongjie Lin
SHORT PAPERS:
DM533 "Meta Analyses for Dynamic Contextual Multi Arm Bandits in Display Advertisement"
Hongxia Yang and Quan Lu
DM575 "Selecting Valuable Customers for Merchants in E-commerce Platforms"
Yijun Wang, Le Wu, Zongda Wu, Enhong Chen, and Qi Liu
DM589 "Service Usage Analysis in Mobile Messaging Apps: A Multi-Label Multi-View Perspective"
Hui Xiong, Junming Liu, Xinjiang Lu, Yanjie Fu, and Xiaolin Li
11:00-13:00
Room A2+A3
Session B4: Supervised Learning 1
Session Chair: George Karypis (University of Minnesota, USA)
REGULAR PAPERS:
DM850 "Asynchronous Multi-Task Learning"
Inci Baytas, Ming Yan, Anil Jain, and Jiayu Zhou
DM883 "Interactive Multi-Task Relationship Learning"
Kaixiang Lin and Jiayu Zhou
SHORT PAPERS:
DM433 "Functional Regression with Mode-Sparsity Constraint"
Pei Yang and Jingrui He
DM379 "Learning Supervised Binary Hashing: Optimization vs Diversity"
Ramin Raziperchikolaei and Miguel Carreira-Perpinan
DM732 "Bayesian Rule Sets for Interpretable Classification"
Tong Wang, Cynthia Rudin, Finale Doshi-Velez, Yimin Liu, Erica Klampfl, and Perry MacNeille
DM789 "Probabilistic Formulations of Regression with Mixed Guidance"
Aubrey Gress and Ian Davidson
DM1005 "Background Check: A general technique to build more reliable and versatile classifiers"
Miquel Nieto, Telmo Silva Filho, Meelis Kull, and Peter Flach
DM1026 "Optimizing the Multi-class F-measure via Biconcave Programming"
Weiwei Pan, Harikrishna Narasimhan, Purushottam Kar, Pavlos Protopapas, and Harish Ramaswamy
DM1084 "A Rotation Invariant Latent Factor Model for Moveme Discovery from Static Poses"
Matteo Ruggero Ronchi, Joon Sik Kim, and Yisong Yue
REGULAR PAPERS:
DM850 "Asynchronous Multi-Task Learning"
Inci Baytas, Ming Yan, Anil Jain, and Jiayu Zhou
DM883 "Interactive Multi-Task Relationship Learning"
Kaixiang Lin and Jiayu Zhou
SHORT PAPERS:
DM433 "Functional Regression with Mode-Sparsity Constraint"
Pei Yang and Jingrui He
DM379 "Learning Supervised Binary Hashing: Optimization vs Diversity"
Ramin Raziperchikolaei and Miguel Carreira-Perpinan
DM732 "Bayesian Rule Sets for Interpretable Classification"
Tong Wang, Cynthia Rudin, Finale Doshi-Velez, Yimin Liu, Erica Klampfl, and Perry MacNeille
DM789 "Probabilistic Formulations of Regression with Mixed Guidance"
Aubrey Gress and Ian Davidson
DM1005 "Background Check: A general technique to build more reliable and versatile classifiers"
Miquel Nieto, Telmo Silva Filho, Meelis Kull, and Peter Flach
DM1026 "Optimizing the Multi-class F-measure via Biconcave Programming"
Weiwei Pan, Harikrishna Narasimhan, Purushottam Kar, Pavlos Protopapas, and Harish Ramaswamy
DM1084 "A Rotation Invariant Latent Factor Model for Moveme Discovery from Static Poses"
Matteo Ruggero Ronchi, Joon Sik Kim, and Yisong Yue
11:00-13:00
Room A1
Tutorial 3
The Evolution of Natural Language Understanding and Prediction Technologies: from Formal Grammars to Large Scale Machine Learning
13:00-14:30
Lunch Break
14:30-16:10
Auditorium
Session A5: Graphs 1
Session Chair: Nikolaj Tatti (Aalto University, Finland)
REGULAR PAPERS:
DM424 "Waddling Random Walk: Fast and Accurate Mining of Motif Statistics in Large Graphs"
Guyue Han and Harish Sethu
DM514 "Random Walk with Restart over Dynamic Graphs"
Weiren Yu and Weiren Yu
DM687 "Edge Weight Prediction in Weighted Signed Networks"
Srijan Kumar, Francesca Spezzano, V.S. Subrahmanian, and Christos Faloutsos
SHORT PAPERS:
DM481 "Personalized Ranking in Signed Networks using Signed Random Walk with Restart"
Jinhong Jung, Woojeong Jin, Sael Lee, and U Kang
DM864 "Asymptotic Analysis of Equivalences and Core-Structures in Kronecker-Style Graph Models"
Alex Chin, Timothy Goodrich, Michael O'Brien, Felix Reidl, Blair Sullivan, and Drew van der Poel
DM328 "Fractality of Massive Graphs: Scalable Analysis with Sketch-Based Box-Covering Algorithm"
Takuya Akiba, Kenko Nakamura, and Taro Takaguchi
DM442 "Cut Tree Construction from Massive Graphs"
Takuya Akiba, Yoichi Iwata, Yosuke Sameshima, Naoto Mizuno, and Yosuke Yano
REGULAR PAPERS:
DM424 "Waddling Random Walk: Fast and Accurate Mining of Motif Statistics in Large Graphs"
Guyue Han and Harish Sethu
DM514 "Random Walk with Restart over Dynamic Graphs"
Weiren Yu and Weiren Yu
DM687 "Edge Weight Prediction in Weighted Signed Networks"
Srijan Kumar, Francesca Spezzano, V.S. Subrahmanian, and Christos Faloutsos
SHORT PAPERS:
DM481 "Personalized Ranking in Signed Networks using Signed Random Walk with Restart"
Jinhong Jung, Woojeong Jin, Sael Lee, and U Kang
DM864 "Asymptotic Analysis of Equivalences and Core-Structures in Kronecker-Style Graph Models"
Alex Chin, Timothy Goodrich, Michael O'Brien, Felix Reidl, Blair Sullivan, and Drew van der Poel
DM328 "Fractality of Massive Graphs: Scalable Analysis with Sketch-Based Box-Covering Algorithm"
Takuya Akiba, Kenko Nakamura, and Taro Takaguchi
DM442 "Cut Tree Construction from Massive Graphs"
Takuya Akiba, Yoichi Iwata, Yosuke Sameshima, Naoto Mizuno, and Yosuke Yano
14:30-16:10
Room A2+A3
Session B5: Feature Selection
Session Chair: Miguel A. Carreira-Perpinan (UC Merced, USA)
REGULAR PAPERS:
DM327 "Robust Multi-View Feature Selection"
Hongfu Liu, Haiyi Mao, and Yun Fu
DM787 "A Fast Iterative Algorithm for Improved Unsupervised Feature Selection"
Bruno Ordozgoiti, Sandra Gómez Canaval, and Alberto Mozo
DM1065 "Unsupervised Feature Selection for Outlier Detection by Modelling Hierarchical Value-Feature Couplings"
Guansong Pang, Longbing Cao, Ling Chen, and Huan Liu
SHORT PAPERS:
DM380 "Feature Grouping using Weighted l1 norm for High-Dimensional Data"
Bhanukiran Vinzamuri, Karthik Padthe, and Chandan Reddy
DM877 "Toward Time-Evolving Feature Selection on Dynamic Networks"
Jundong Li, Xia Hu, Ling Jian, and Huan Liu
DM997 "Online Unsupervised Multi-view Feature Selection"
Weixiang Shao, Lifang He, Chun-Ta Lu, Xiaokai Wei, and Philip Yu
DM1097 "ExploreKit: Automatic Feature Generation and Selection"
Gilad Katz, Richard Shin, and Dawn Song
REGULAR PAPERS:
DM327 "Robust Multi-View Feature Selection"
Hongfu Liu, Haiyi Mao, and Yun Fu
DM787 "A Fast Iterative Algorithm for Improved Unsupervised Feature Selection"
Bruno Ordozgoiti, Sandra Gómez Canaval, and Alberto Mozo
DM1065 "Unsupervised Feature Selection for Outlier Detection by Modelling Hierarchical Value-Feature Couplings"
Guansong Pang, Longbing Cao, Ling Chen, and Huan Liu
SHORT PAPERS:
DM380 "Feature Grouping using Weighted l1 norm for High-Dimensional Data"
Bhanukiran Vinzamuri, Karthik Padthe, and Chandan Reddy
DM877 "Toward Time-Evolving Feature Selection on Dynamic Networks"
Jundong Li, Xia Hu, Ling Jian, and Huan Liu
DM997 "Online Unsupervised Multi-view Feature Selection"
Weixiang Shao, Lifang He, Chun-Ta Lu, Xiaokai Wei, and Philip Yu
DM1097 "ExploreKit: Automatic Feature Generation and Selection"
Gilad Katz, Richard Shin, and Dawn Song
14:30-16:10
Room A4
Session C5: Privacy
Session Chair: Tamir Tassa (Open University, Israel)
REGULAR PAPERS:
DM364 "Beyond Points and Paths: Counting Private Bodies"
Maryam Fanaeepour and Benjamin Rubinstein
DM436 "Differentially Private Regression Diagnostics"
Yan Chen, Ashwin Machanavajjhala, Jerome Reiter, and Andres Barrientos
DM767 "Auditing Black-box Models for Indirect Influence"
Philip Adler, Casey Falk, Sorelle Friedler, Gabriel Rybeck, Carlos Schedegger, Brandon Smith, and Suresh Venkatasubramanian
DM769 "College Student Scholarships and Subsidies Granting: A Multi-Modal Multi-Label Approach"
Han-Jia Ye, De-Chuan Zhan, Xiaolin Li, Zhen-Chuan Huang, and Yuan Jiang
SHORT PAPERS:
DM245 "Differential Location Privacy for Sparse Mobile Crowdsensing"
Leye Wang, Daqing Zhang, Dingqi Yang, Brian Y. Lim, and Xiaojuan Ma
DM434 "Scalable Block Scheduling for Efficient Multi-Database Record Linkage"
Thilina Ranbaduge, Dinusha Vatsalan, and Peter Christen
REGULAR PAPERS:
DM364 "Beyond Points and Paths: Counting Private Bodies"
Maryam Fanaeepour and Benjamin Rubinstein
DM436 "Differentially Private Regression Diagnostics"
Yan Chen, Ashwin Machanavajjhala, Jerome Reiter, and Andres Barrientos
DM767 "Auditing Black-box Models for Indirect Influence"
Philip Adler, Casey Falk, Sorelle Friedler, Gabriel Rybeck, Carlos Schedegger, Brandon Smith, and Suresh Venkatasubramanian
DM769 "College Student Scholarships and Subsidies Granting: A Multi-Modal Multi-Label Approach"
Han-Jia Ye, De-Chuan Zhan, Xiaolin Li, Zhen-Chuan Huang, and Yuan Jiang
SHORT PAPERS:
DM245 "Differential Location Privacy for Sparse Mobile Crowdsensing"
Leye Wang, Daqing Zhang, Dingqi Yang, Brian Y. Lim, and Xiaojuan Ma
DM434 "Scalable Block Scheduling for Efficient Multi-Database Record Linkage"
Thilina Ranbaduge, Dinusha Vatsalan, and Peter Christen
14:30-16:10
Room A1
Tutorial 3
The Evolution of Natural Language Understanding and Prediction Technologies: from Formal Grammars to Large Scale Machine Learning
17:30
Caves Codorniu
Social Event & Gala Dinner
Wine tasting, tour and dinner at Caves Codorniu.
09:30-10:30
Auditorium
Keynote 3
Big Data or Big Garbage? A Tale of a Research Journey for Real-Time Business Intelligence
Rakesh Agrawal, Data Insights Laboratories
Session Chair: Francesco Bonchi (ISI Foundation, Italy / Eurecat, Spain)
10:30-11:00
Coffee Break
11:00-13:00
Room A4
Session C6: Anomalies and Outliers
Session Chair: Takashi Washio (Osaka University, Japan)
REGULAR PAPERS:
DM273 "Probabilistic-Mismatch Anomaly Detection: Do one's Medications Match with the Diagnoses?"
Lingxiao Zhang, Xiang Li, Heifeng Liu, Jing Mei, Gang Hu, Junfeng Zhao, Bing Xie, and Guotong Xie
DM274 "Regularized Large Margin Distance Metric Learning"
Ya Li, Xinmei Tian, and Dacheng Tao
DM806 "Subspace Outlier Detection in Linear Time with Randomized Hashing"
Saket Sathe and Charu Aggarwal
SHORT PAPERS:
DM537 "Sequential Ensemble Learning for Outlier Detection: A Bias-Variance Perspective"
Shebuti Rayana, Wen Zhong, and Leman Akoglu
DM925 "Outlier Detection from Network Data with Subnetwork Interpretation"
Xuan-Hong Dang, Arllei Silva, Ambuj K Singh, Prithwish Basu, and Ananthram Swami
DM1044 "Sparse Gaussian Markov Random Field Mixtures for Anomaly Detection"
Tsuyoshi Ide, Ankush Khandelwal, and Jayant Kalagnanam
DM1058 "Low-Rank Sparse Feature Selection for Patient Similarity Learning"
Mengting Zhan, Shilei Cao, Shiyu Chang, Jishang Wei, and Buyue Qian
DM254 "Structure-Preserved Multi-Source Domain Adaptation"
Hongfu Liu, Ming Shao, and Yun Fu
DM938 "Gaussian Component based Index for GMMs"
Linfei Zhou, Bianca Wackersreuther, Frank Fiedler, Claudia Plant, and Christian Boehm
REGULAR PAPERS:
DM273 "Probabilistic-Mismatch Anomaly Detection: Do one's Medications Match with the Diagnoses?"
Lingxiao Zhang, Xiang Li, Heifeng Liu, Jing Mei, Gang Hu, Junfeng Zhao, Bing Xie, and Guotong Xie
DM274 "Regularized Large Margin Distance Metric Learning"
Ya Li, Xinmei Tian, and Dacheng Tao
DM806 "Subspace Outlier Detection in Linear Time with Randomized Hashing"
Saket Sathe and Charu Aggarwal
SHORT PAPERS:
DM537 "Sequential Ensemble Learning for Outlier Detection: A Bias-Variance Perspective"
Shebuti Rayana, Wen Zhong, and Leman Akoglu
DM925 "Outlier Detection from Network Data with Subnetwork Interpretation"
Xuan-Hong Dang, Arllei Silva, Ambuj K Singh, Prithwish Basu, and Ananthram Swami
DM1044 "Sparse Gaussian Markov Random Field Mixtures for Anomaly Detection"
Tsuyoshi Ide, Ankush Khandelwal, and Jayant Kalagnanam
DM1058 "Low-Rank Sparse Feature Selection for Patient Similarity Learning"
Mengting Zhan, Shilei Cao, Shiyu Chang, Jishang Wei, and Buyue Qian
DM254 "Structure-Preserved Multi-Source Domain Adaptation"
Hongfu Liu, Ming Shao, and Yun Fu
DM938 "Gaussian Component based Index for GMMs"
Linfei Zhou, Bianca Wackersreuther, Frank Fiedler, Claudia Plant, and Christian Boehm
11:00-13:00
Auditorium
Session A6: Sequences and Time Series
Session Chair: Adytia Prakash (Virginia Tech, USA)
REGULAR PAPERS:
DM567 "Time Series Motifs: Exploiting a Novel Algorithm and GPUs to break the one Hundred Million Barrier"
Yan Zhu, Zachary Zimmerman, Nader Shakibay Senobari, Chin-Chia Michael Yeh, Gareth Funning, Abdullah Mueen, Philip Brisk, and Eamonn Keogh
DM248 "Visualization of Salient Subsequences in Time Series"
Chin-Chia Michael Yeh, Helga Van Herle, and Eamonn Keogh
DM920 "Fast Warping Distance for Sparse Time Series"
Abdullah Mueen, Nikan Chavoshi, Noor Abu-El-Rub, Hossein Hamooni, and Amanda Minnich
SHORT PAPERS :
DM295 "Frequent Sequence Mining with Subsequence Constraints"
Kaustubh Beedkar and Rainer Gemulla
DM559 "Second-order Online Active Learning and Its Applications"
Shuji Hao, Peilin Zhao, Jing Lu, Steven C.H. Hoi, and Chunyan Miao
DM1007 "HIVE-COTE: The Hierarchical Vote Collective of Transformation-based Ensembles for Time Series Classification"
Jason Lines, Sarah Taylor, and Anthony Bagnall
DM221 "All Pairs Similarity Joins for Time Series Subsequences"
Chin-Chia Michael Yeh, Yan Zhu, Liudmila Ulanova, Nurjahan Begum, Yifei Ding, Hoang Anh Dau, Diego Silva, Abdullah Mueen, and Eamonn Keogh
DM261 "Prefix and Suffix Invariant Dynamic Time Warping"
Diego Silva, Gustavo E.A.P.A. Batista, and Eamonn Keogh
DM378 "Dynamic Poisson Factor Analysis"
Yizhe Zhang, Ricardo Henao, and Lawrence Carin
REGULAR PAPERS:
DM567 "Time Series Motifs: Exploiting a Novel Algorithm and GPUs to break the one Hundred Million Barrier"
Yan Zhu, Zachary Zimmerman, Nader Shakibay Senobari, Chin-Chia Michael Yeh, Gareth Funning, Abdullah Mueen, Philip Brisk, and Eamonn Keogh
DM248 "Visualization of Salient Subsequences in Time Series"
Chin-Chia Michael Yeh, Helga Van Herle, and Eamonn Keogh
DM920 "Fast Warping Distance for Sparse Time Series"
Abdullah Mueen, Nikan Chavoshi, Noor Abu-El-Rub, Hossein Hamooni, and Amanda Minnich
SHORT PAPERS :
DM295 "Frequent Sequence Mining with Subsequence Constraints"
Kaustubh Beedkar and Rainer Gemulla
DM559 "Second-order Online Active Learning and Its Applications"
Shuji Hao, Peilin Zhao, Jing Lu, Steven C.H. Hoi, and Chunyan Miao
DM1007 "HIVE-COTE: The Hierarchical Vote Collective of Transformation-based Ensembles for Time Series Classification"
Jason Lines, Sarah Taylor, and Anthony Bagnall
DM221 "All Pairs Similarity Joins for Time Series Subsequences"
Chin-Chia Michael Yeh, Yan Zhu, Liudmila Ulanova, Nurjahan Begum, Yifei Ding, Hoang Anh Dau, Diego Silva, Abdullah Mueen, and Eamonn Keogh
DM261 "Prefix and Suffix Invariant Dynamic Time Warping"
Diego Silva, Gustavo E.A.P.A. Batista, and Eamonn Keogh
DM378 "Dynamic Poisson Factor Analysis"
Yizhe Zhang, Ricardo Henao, and Lawrence Carin
11:00-13:00
Room A2+A3
Session B6: Biomedical
Session Chair: Shinici Morishita (University of Tokyo, Japan)
REGULAR PAPERS:
DM807 "Predicting COPD Failure by Modeling Hazard in Longitudinal Clinical Data"
Jianfei Zhang, Shengrui Wang, Josiane Courteau, Lifei Chen, and Alain Vanasse
DM1060 "Measuring Patient Similarities via A Deep Architecture with Medical Concept Embedding"
Zihao Zhu, Changchang Yin, Yu Cheng, Jishang Wei, and Buyue Qian
DM1104 "New Probabilistic Multi-Graph Decomposition Model to Identify Consistent Human Brain Network Modules"
Heng Huang
DM373 "Transfer Learning for Survival Analysis via Efficient L2,1-norm Regularized Cox Regression"
Yan Li, Lu Wang, Jie Wang, Jieping Ye, and Chandan Reddy
DM932 "New Robust Clustering Model for Identifying Cancer Genome Landscapes"
hongchang gao, Xiaoqian Wang, and Heng Huang
SHORT PAPERS:
DM489 "Efficient Algorithms for the Three Locus Problem in Genome-wide Association Study"
Sanguthevar Rajasekaran and Subrata Saha
DM626 "Patterns in Cognitive Rehabilitation of Traumatic Brain Injury Patients: A Text Mining Approach"
Alejandro Garcia-Rudolph, Alberto Garcia-Molina, Eloy Opisso, and Josep Maria Tormos
REGULAR PAPERS:
DM807 "Predicting COPD Failure by Modeling Hazard in Longitudinal Clinical Data"
Jianfei Zhang, Shengrui Wang, Josiane Courteau, Lifei Chen, and Alain Vanasse
DM1060 "Measuring Patient Similarities via A Deep Architecture with Medical Concept Embedding"
Zihao Zhu, Changchang Yin, Yu Cheng, Jishang Wei, and Buyue Qian
DM1104 "New Probabilistic Multi-Graph Decomposition Model to Identify Consistent Human Brain Network Modules"
Heng Huang
DM373 "Transfer Learning for Survival Analysis via Efficient L2,1-norm Regularized Cox Regression"
Yan Li, Lu Wang, Jie Wang, Jieping Ye, and Chandan Reddy
DM932 "New Robust Clustering Model for Identifying Cancer Genome Landscapes"
hongchang gao, Xiaoqian Wang, and Heng Huang
SHORT PAPERS:
DM489 "Efficient Algorithms for the Three Locus Problem in Genome-wide Association Study"
Sanguthevar Rajasekaran and Subrata Saha
DM626 "Patterns in Cognitive Rehabilitation of Traumatic Brain Injury Patients: A Text Mining Approach"
Alejandro Garcia-Rudolph, Alberto Garcia-Molina, Eloy Opisso, and Josep Maria Tormos
11:00-13:00
Room A1
Tutorial 4
Core Decomposition of Networks: concepts, algorithms and applications
13:00-14:30
Lunch Break
14:30-16:10
Auditorium
Session A7: Graphs 2
Session Chair: Esther Galbrun (INRIA, France)
REGULAR PAPERS:
DM422 "On Dense Subgraphs in Signed Network Streams"
Jose Cadena, Anil Vullikanti, and Charu Aggarwal
DM1059 "Graph-Structured Sparse Optimization for Connected Subgraph Detection"
Baojian Zhou and Feng Chen
DM762 "Hyperbolae Are No Hyperbole: Modelling Communities That Are Not Cliques"
Saskia Metzler, Stephan Günnemann, and Pauli Miettinen
SHORT PAPERS:
DM223 "Efficient and scalable detection of overlapping communities in big networks"
Tianshu Lyu, Lidong Bing, Zhao Zhang, and Yan Zhang
DM593 "Mining Summaries for Knowledge Graph Search"
Qi Song, Yinghui Wu and Xin Luna Dong
DM490 "MeGS: Partitioning Meaningful Subgraph Structures using Minimum Description Length"
Sebastian Goebl, Annika Tonch, Christian Böhm, and Claudia Plant
DM1028 "Learning from your network of friends: a trajectory representation learning model based on online social ties"
Basma Alharbi and Xiangliang Zhang
REGULAR PAPERS:
DM422 "On Dense Subgraphs in Signed Network Streams"
Jose Cadena, Anil Vullikanti, and Charu Aggarwal
DM1059 "Graph-Structured Sparse Optimization for Connected Subgraph Detection"
Baojian Zhou and Feng Chen
DM762 "Hyperbolae Are No Hyperbole: Modelling Communities That Are Not Cliques"
Saskia Metzler, Stephan Günnemann, and Pauli Miettinen
SHORT PAPERS:
DM223 "Efficient and scalable detection of overlapping communities in big networks"
Tianshu Lyu, Lidong Bing, Zhao Zhang, and Yan Zhang
DM593 "Mining Summaries for Knowledge Graph Search"
Qi Song, Yinghui Wu and Xin Luna Dong
DM490 "MeGS: Partitioning Meaningful Subgraph Structures using Minimum Description Length"
Sebastian Goebl, Annika Tonch, Christian Böhm, and Claudia Plant
DM1028 "Learning from your network of friends: a trajectory representation learning model based on online social ties"
Basma Alharbi and Xiangliang Zhang
14:30-16:10
Room A2+A3
Session B7: Distributed and High Performance Computing
Session Chair: Alexandre Termier (University of Rennes, France)
REGULAR PAPERS:
DM453 "Partition Aware Connected Component Computation in Distributed Systems"
Ha-Myung Park, Namyong Park, Sung-Hyon Myaeng, and U Kang
DM886 "Efficient Distributed SGD with Variance Reduction"
Soham De and Thomas Goldstein
DM931 "HogWild++: A New Mechanism for Decentralized Asynchronous Stochastic Gradient Descent"
Huan Zhang, Cho-Jui Hsieh, and Venkatesh Akella
SHORT PAPERS:
DM1066 "Spectrum-Revealing Cholesky Factorization for Kernel Methods"
Jianwei Xiao and Ming Gu
DM421 "Efficient and Distributed Algorithms for Large-Scale Generalized Canonical Correlations Analysis"
Xiao Fu, Kejun Huang, Evangelos Papalexakis, Hyun Ah Song, Partha Talukdar, Nicholas Sidiropoulos, Christos Faloutsos, and Tom Mitchell
DM703 "One-pass Logistic Regression for Label-drift and Large-scale Classification on Distributed Systems"
Vu Nguyen, Tu Dinh Nguyen, Trung Le, Dinh Phung, and Svetha Venkatesh
DM708 "A Fast Distributed Classification Algorithm for Large-scale Imbalanced Data"
Huihui Wang, Yang Gao, Yinghuan Shi, and Hao Wang
REGULAR PAPERS:
DM453 "Partition Aware Connected Component Computation in Distributed Systems"
Ha-Myung Park, Namyong Park, Sung-Hyon Myaeng, and U Kang
DM886 "Efficient Distributed SGD with Variance Reduction"
Soham De and Thomas Goldstein
DM931 "HogWild++: A New Mechanism for Decentralized Asynchronous Stochastic Gradient Descent"
Huan Zhang, Cho-Jui Hsieh, and Venkatesh Akella
SHORT PAPERS:
DM1066 "Spectrum-Revealing Cholesky Factorization for Kernel Methods"
Jianwei Xiao and Ming Gu
DM421 "Efficient and Distributed Algorithms for Large-Scale Generalized Canonical Correlations Analysis"
Xiao Fu, Kejun Huang, Evangelos Papalexakis, Hyun Ah Song, Partha Talukdar, Nicholas Sidiropoulos, Christos Faloutsos, and Tom Mitchell
DM703 "One-pass Logistic Regression for Label-drift and Large-scale Classification on Distributed Systems"
Vu Nguyen, Tu Dinh Nguyen, Trung Le, Dinh Phung, and Svetha Venkatesh
DM708 "A Fast Distributed Classification Algorithm for Large-scale Imbalanced Data"
Huihui Wang, Yang Gao, Yinghuan Shi, and Hao Wang
14:30-16:10
Room A4
Session C7: Supervised Learning 2
Session Chair: Ricard Gavalda (UPC, Spain)
REGULAR PAPERS:
DM966 "Binary Classifier Calibration using an Ensemble of Near Isotonic Regression Models"
Mahdi Pakdaman Naeini and Gregory Cooper
DM1024 "Fixing the Convergence Problems in Parallel Asynchronous Dual Coordinate Descent"
Huan Zhang and Cho-Jui Hsieh
SHORT PAPERS:
DM347 "Learning Task Relational Structure for Multi-Task Feature Learning"
De Wang, Feiping Nie, and Heng Huang
DM562 "Scalable Discrete Supervised Hash Learning with Asymmetric Matrix Factorization"
Shifeng Zhang, Jianmin Li, Jinma Guo, and Bo Zhang
DM691 "Budgeted Batch Bayesian Optimization"
Vu Nguyen, Santu Rana, Sunil Gupta, Cheng Li, and Svetha Venkatesh
DM694 "Faster Kernels for Graphs with Continuous Attributes via Hashing"
Christopher Morris, Nils M. Kriege, Kristian Kersting, and Petra Mutzel
DM922 "Efficient Sampling-Based Kernel Mean Matching"
Swarup Chandra, Ahsanul Haque, Latifur Khan, and Charu Aggarwal
DM1117 "Sublinear Dual Coordinate Ascent for Regularized Loss Minimization"
liu liu and Dacheng Tao
REGULAR PAPERS:
DM966 "Binary Classifier Calibration using an Ensemble of Near Isotonic Regression Models"
Mahdi Pakdaman Naeini and Gregory Cooper
DM1024 "Fixing the Convergence Problems in Parallel Asynchronous Dual Coordinate Descent"
Huan Zhang and Cho-Jui Hsieh
SHORT PAPERS:
DM347 "Learning Task Relational Structure for Multi-Task Feature Learning"
De Wang, Feiping Nie, and Heng Huang
DM562 "Scalable Discrete Supervised Hash Learning with Asymmetric Matrix Factorization"
Shifeng Zhang, Jianmin Li, Jinma Guo, and Bo Zhang
DM691 "Budgeted Batch Bayesian Optimization"
Vu Nguyen, Santu Rana, Sunil Gupta, Cheng Li, and Svetha Venkatesh
DM694 "Faster Kernels for Graphs with Continuous Attributes via Hashing"
Christopher Morris, Nils M. Kriege, Kristian Kersting, and Petra Mutzel
DM922 "Efficient Sampling-Based Kernel Mean Matching"
Swarup Chandra, Ahsanul Haque, Latifur Khan, and Charu Aggarwal
DM1117 "Sublinear Dual Coordinate Ascent for Regularized Loss Minimization"
liu liu and Dacheng Tao
14:30-16:10
Room A1
Tutorial 4
Core Decomposition of Networks: concepts, algorithms and applications
16:10-16:30
Coffee Break
16:30-18:10
Auditorium
Session A8: Social
Session Chair: Neil Shah (CMU, USA)
REGULAR PAPERS:
DM505 "Vote-and-Comment: Modeling the Coevolution of User Interactions in Social Voting Web Sites"
Alceu Ferraz Costa, Agma Juci Machado Traina, Caetano Traina Jr., and Christos Faloutsos
DM661 "Homophily, Structure, and Content Augmented Network Representation Learning"
Daokun Zhang, Jie Yin, Xingquan Zhu, and Chengqi Zhang
DM805 "TO BE OR NOT TO BE FRIENDS: Exploiting Social Ties for Venture Investments"
Hao Zhong, Chuanren Liu, Xinjiang Lu, and Hui Xiong
SHORT PAPERS:
DM287 "Steering Social Media Promotions with Effective Strategies"
Kun Kuang, Meng Jiang, Peng Cui, and Shiqiang Yang
DM464 "HLGPS: A Home Location Global Positioning System in Location-Based Social Networks"
Yulong Gu, Jiaxing Song, Weidong Liu, and Lixin Zou
DM666 "A combinatorial approach to role discovery"
Albert Arockiasamy, Aristides Gionis, and Nikolaj Tatti
DM995 "HNP3: A Hierarchical Nonparametric Point Process for modeling Content Diffusion Over Social Media"
SeyedAbbas Hosseini, Ali Khodadadi, Ali Arabzadeh, and Hamid R. Rabiee
REGULAR PAPERS:
DM505 "Vote-and-Comment: Modeling the Coevolution of User Interactions in Social Voting Web Sites"
Alceu Ferraz Costa, Agma Juci Machado Traina, Caetano Traina Jr., and Christos Faloutsos
DM661 "Homophily, Structure, and Content Augmented Network Representation Learning"
Daokun Zhang, Jie Yin, Xingquan Zhu, and Chengqi Zhang
DM805 "TO BE OR NOT TO BE FRIENDS: Exploiting Social Ties for Venture Investments"
Hao Zhong, Chuanren Liu, Xinjiang Lu, and Hui Xiong
SHORT PAPERS:
DM287 "Steering Social Media Promotions with Effective Strategies"
Kun Kuang, Meng Jiang, Peng Cui, and Shiqiang Yang
DM464 "HLGPS: A Home Location Global Positioning System in Location-Based Social Networks"
Yulong Gu, Jiaxing Song, Weidong Liu, and Lixin Zou
DM666 "A combinatorial approach to role discovery"
Albert Arockiasamy, Aristides Gionis, and Nikolaj Tatti
DM995 "HNP3: A Hierarchical Nonparametric Point Process for modeling Content Diffusion Over Social Media"
SeyedAbbas Hosseini, Ali Khodadadi, Ali Arabzadeh, and Hamid R. Rabiee
16:30-18:10
Room A2+A3
Session B8: Streaming
Session Chair: Albert Bifet (Télécom ParisTech, France)
REGULAR PAPERS:
DM418 "KNN classifier with self adjusting memory for heterogeneous concept drift"
Viktor Losing, Barbara Hammer, and Heiko Wersing
DM706 "Streaming Model Selection via Online Factorized Asymptotic Bayesian Inference"
Liu Chunchen, Feng Lu, and Ryohei Fujimaki
DM727 "ConTrack: A Scalable Method For Tracking Multiple Concepts In Large Scale Multidimensional Data"
Ali Zonoozi, Qirong Ho, Shonali Krishnaswamy, and Gao Cong
SHORT PAPERS:
DM602 "ROM: A Robust Online Multi-Task Learning Approach"
CHI ZHANG, PEILIN ZHAO, Shuji Hao, YENG CHAI SOH, and BU SUNG LEE
DM676 "Multi-Label Learning with Emerging New Labels"
Yue Zhu, Kai-Ming Ting, and Zhi-Hua Zhou
DM243 "EXTRACT: Strong Examples from Weakly-Labeled Sensor Data"
Davis Blalock and John Guttag
DM456 "Spell: Streaming Parsing of System Event Logs"
Min Du and Feifei Li
REGULAR PAPERS:
DM418 "KNN classifier with self adjusting memory for heterogeneous concept drift"
Viktor Losing, Barbara Hammer, and Heiko Wersing
DM706 "Streaming Model Selection via Online Factorized Asymptotic Bayesian Inference"
Liu Chunchen, Feng Lu, and Ryohei Fujimaki
DM727 "ConTrack: A Scalable Method For Tracking Multiple Concepts In Large Scale Multidimensional Data"
Ali Zonoozi, Qirong Ho, Shonali Krishnaswamy, and Gao Cong
SHORT PAPERS:
DM602 "ROM: A Robust Online Multi-Task Learning Approach"
CHI ZHANG, PEILIN ZHAO, Shuji Hao, YENG CHAI SOH, and BU SUNG LEE
DM676 "Multi-Label Learning with Emerging New Labels"
Yue Zhu, Kai-Ming Ting, and Zhi-Hua Zhou
DM243 "EXTRACT: Strong Examples from Weakly-Labeled Sensor Data"
Davis Blalock and John Guttag
DM456 "Spell: Streaming Parsing of System Event Logs"
Min Du and Feifei Li
16:30-18:10
Room A4
Session C8: Semi-supervised and Active Learning
Session Chair: Min-Ling Zhang (Southeast University, China)
REGULAR PAPERS:
DM500 "Adaptive Neighborhood Propagation by Joint L2,1-norm Regularized Sparse Coding for Representation and Classification"
Lei Jia, Zhao Zhang, Lei Wang, Weiming Jiang, and Mingbo Zhao
DM856 "An Augmented LSTM Framework to Construct Medical Self-diagnosis Android"
Chaochun Liu, Huan Sun, Nan Du, Shulong Tan, Hongliang Fei, Wei Fan, Tao Yang, Hao Wu, Yaliang Li, and Chenwei Zhang
SHORT PAPERS:
DM446 "Semi-Supervised Multi-Label Dimensionality Reduction"
Baolin Guo, Chenping Hou, Feiping Nie, and Dongyun Yi
DM471 "Reliable Semi-supervised Learning"
Junming Shao, Chen Huang, Qinli Yang, and Guangchun Luo
DM601 "A Semi-supervised AUC Optimization Method with Generative Models"
Akinori Fujino and Naonori Ueda
DM725 "A Novel Uncertainty Sampling Algorithm for Cost-sensitive Multiclass Active Learning"
Kuan-Hao Huang and Hsuan-Tien Lin
DM748 "Can Active Learning Experience Be Transferred?"
Hong-Min Chu and Hsuan-Tien Lin
DM893 "Incorporating Expert Feedback into Active Anomaly Discovery"
Shubhomoy Das, Weng-Keen Wong, Thomas Dietterich, Alan Fern, and Andrew Emmott
DM500 "Adaptive Neighborhood Propagation by Joint L2,1-norm Regularized Sparse Coding for Representation and Classification"
Lei Jia, Zhao Zhang, Lei Wang, Weiming Jiang, and Mingbo Zhao
DM856 "An Augmented LSTM Framework to Construct Medical Self-diagnosis Android"
Chaochun Liu, Huan Sun, Nan Du, Shulong Tan, Hongliang Fei, Wei Fan, Tao Yang, Hao Wu, Yaliang Li, and Chenwei Zhang
SHORT PAPERS:
DM446 "Semi-Supervised Multi-Label Dimensionality Reduction"
Baolin Guo, Chenping Hou, Feiping Nie, and Dongyun Yi
DM471 "Reliable Semi-supervised Learning"
Junming Shao, Chen Huang, Qinli Yang, and Guangchun Luo
DM601 "A Semi-supervised AUC Optimization Method with Generative Models"
Akinori Fujino and Naonori Ueda
DM725 "A Novel Uncertainty Sampling Algorithm for Cost-sensitive Multiclass Active Learning"
Kuan-Hao Huang and Hsuan-Tien Lin
DM748 "Can Active Learning Experience Be Transferred?"
Hong-Min Chu and Hsuan-Tien Lin
DM893 "Incorporating Expert Feedback into Active Anomaly Discovery"
Shubhomoy Das, Weng-Keen Wong, Thomas Dietterich, Alan Fern, and Andrew Emmott
18:10