Keynote 1
Deep Learning
Yoshua Bengio, University of Montreal
Session Chair: Ricardo Baeza (NTENT, USA / UPF, Spain)
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
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
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)
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