Call for Papers

Topics of interest include, but are not limited to:

• Foundations, algorithms, models and theory of data mining
• Machine learning and statistical methods for data mining
• Mining text, semi-structured, spatio-temporal, streaming, graph, web, multimedia data
• Data mining systems and platforms, their efficiency, scalability and privacy
• Data mining in modeling, visualization, personalization and recommendation
• Applications of data mining in all domains including social, web, bioinformatics and finance

Paper submissions should be limited to a maximum of ten (10) pages, in the IEEE 2-column format, including the bibliography and any possible appendices. Submissions longer than 10 pages will be rejected without a review. All submissions will be triple-blind reviewed by the Program Committee on the basis of technical quality, relevance to data mining, originality, significance, and clarity. The following sections give further information for authors. 

Triple blind submission guidelines

Since 2011, ICDM has imposed a triple blind submission and review policy for all submissions. Authors must hence not use identifying information in the text of the paper and bibliographies must be referenced to preserve anonymity. 

What is triple blind reviewing?

The traditional blind paper submission hides the referee name from the authors. The triple-blind paper submission and review, in addition, also hides the authors names from the referees, and the referees’ names during discussion. The names of authors and referees remain known only to the PC co-chairs, and the authors names are disclosed only after the ranking and acceptance of submissions are finalized. Although there is much debate on the merits and perceived benefits of triple blind reviewing, these are not discussed here. Our main purpose is to implement this policy in ICDM toward understanding the influence of the authors’ identity, whether conscious or unconscious, on the reviewer’s attitude toward a submission. Hence it is imperative that all authors of ICDM submissions work on concealing their identity in the content of the paper. It does not suffice to simply remove the authors’ names from the first page.

How to prepare your submissions

1. The authors shall omit their names from the submission. For formatting templates with author and institution information, simply replace all these information in the template by “Anonymous”.
2. In the submission, the authors’ should refer to their own prior work like the prior work of any other author, and include all relevant citations. This can be done either by referring to their prior work in the third person or referencing papers generically. For example, if your name is Smith and you have worked on clustering, instead of saying “We extend our earlier work on distance-based clustering (Smith 2005),” you might say “We extend Smith’s (Smith 2005) earlier work on distance-based clustering.”
3. The authors shall exclude citations to their own work which is not fundamental to understanding the paper, including prior versions (e.g., technical reports, unpublished internal documents) of the submitted paper. They should reference only necessary work using point (2). Hence, do not write: “In our previous work [3]” as it reveals that citation 3 is written by the current authors.
4. The authors shall remove mention of funding sources, personal acknowledgments, and other such auxiliary information that could be related to their identities. These can be reinstituted in the camera-ready copy once the paper is accepted for publication.
5. The authors shall make statements on well-known or unique systems that identify an author, as vague in respect to identifying the authors as possible.
6. The submitted files shall be named with care to ensure that authors’ anonymity is not compromised by the file name. E.g., do not name your submission “.pdf”, instead give it a name that is descriptive of the title of your paper, such as “ANewApproachtoClustering.pdf” (or a shorter version of the same).

Accepted papers will be published in the conference proceedings by the IEEE Computer Society Press.

All manuscripts are submitted as full papers and are reviewed based on their scientific merit. The reviewing process is confidential. There is no separate abstract submission step. There are no separate industrial, application, short paper or poster tracks. Manuscripts must be submitted electronically in online submission system. We do not accept email submissions.

Every effort should be made to enable the code and the datasets (or their closest publicly available equivalents) and all relevant parameter specifications available to reviewers and readers so that the results can be independently replicated. While we cannot expect *every* dataset used to be made public, it is in the best interest of the authors to make as many as possible available (in the worst case, a sampled or an anonymized version). To retain anonymity of submissions, any such additional material should be anonymized as well, and be published on an anonymous website (such as DropBox). The repeatability factor will play an important role in the reviewer’s assessment of the submission.

Awards will be conferred at the conference on the authors of the best paper and the best student paper. A selected number of best papers will be invited for possible inclusion, in an expanded and revised form, in the Knowledge and Information Systems journal published by Springer.

ICDM is a premier forum for presenting and discussing current research in data mining. Therefore, at least one author of each accepted paper must complete the conference registration and present the paper at the conference, in order for the paper to be included in the proceedings and conference program.