Paper Submissions and Key Dates
October 9, 2015, 11:59 PM (US Pacific Time): Abstract Submission
October 9, 2015, 11:59 PM (US Pacific Time): Workshop Proposals
October 9, 2015, 11:59 PM (US Pacific Time): Tutorial Proposals
October 16, 2015, 11:59 PM (US Pacific Time): Paper Submission
December 21, 2015: Author Notification
January 25, 2016: Camera Ready Papers Due
Paper Submission Instructions
Papers submitted to this conference may be either theoretical or applied, but should make a significant contribution to the field. They must not have been accepted or be under review by another conference with a published proceedings or by a journal. Any paper under review *or accepted* to SDM 2016 that is found to have been submitted to a different venue concurrently will be summarily rejected.
All papers accepted should have a maximum length of 9 pages (single-spaced, 2 column, 10 point font, and at least 1" margin on each side). Authors should use US Letter (8.5" x 11") paper size. Papers must have an abstract with a maximum of 300 words and a keyword list with no more than 6 keywords. Authors are required to submit their papers electronically in PDF format (postscript files can be converted using standard converters) to https://cmt.research.microsoft.com/SDM2016 by the posted deadline dates.
In addition, authors will be given an opportunity to upload a supplementary file (see instructions below) with maximum length of 5 pages to CMT after submitting the paper itself. Both the paper and supplementary file must be in PDF format, and the maximum file size for each file is 10MB.
We would like to encourage you to prepare your paper in LaTeX2e. Papers should be formatted using the SIAM SODA macro, which is available through the SIAM website. You can access it at http://www.siam.org/proceedings/macros.php. The filename is soda2e.zip. Make sure you use the macros for SODA and Data Mining Proceedings; papers prepared using other proceedings macros will not be accepted.
For Microsoft Word users, please convert your document to the PDF format.
All submissions should clearly present the author information including the names of the authors, the affiliations and the emails.
Instructions for Submitting Optional Supplementary Materials
All submissions must be in PDF format, and must follow the SIAM style files. Papers are limited to 9 pages; however, authors should feel free to send submissions that are shorter than 9 pages. This includes the title, author details, abstract, technical details, empirical results and bibliography.
In addition, authors have the *option* of submitting a supplementary file for their paper (to present details such as long proofs, additional experimental results, implementation or system details, etc.). The supplementary file must be in PDF format, follow the SIAM style files, and must not exceed 5 pages. To submit the supplementary file, please submit the main paper first, and then you will be given an opportunity to upload the supplementary file to the CMT system.
Please note the following:
- Submissions with the main body longer than 9 pages, or supplementary file longer than 5 pages, will be rejected without review.
- Only the main body (9 pages) of the submissions of accepted papers will be published in SDM proceedings. However, authors of accepted papers are encouraged to publicize their supplementary files on their own websites.
- It is up to the discretion of the PCs and SPCs to look at the supplementary files, and the SPCs and PCs reserve the right to judge the quality of the paper solely on the basis of the 9 pages.
Visit the SDM16 Conference Submission Site at https://cmt.research.microsoft.com/SDM2016 to submit. At this website you will be able to upload your PDF file and select a Primary Subject Area for your paper. You should also select as many Secondary Areas as your paper fits.
These selections are important to the review process and must be done with care. Note that papers may be reallocated to a more appropriate subject area if need be at the discretion of the program chairs.
In addition to traditional work related to the design, analysis, and implementation of data mining algorithms and systems we also strongly encourage submissions of an applied nature. To facilitate the fair and effective reviewing of such application-oriented submissions, we encourage authors to structure such papers into the following sections.
- Background and Motivation (Specific to the application domain)
- Methods and Technical Solutions(Draw connections between the specific application to existing studies in the literature, clarify the constraints imposed by the application domain and distinguish your solutions from pre-existing ones in this context).
- Empirical Evaluation (Self explanatory).
- Significance and Impact (Provide concrete evidence of the potential significance and impact of your work in the given application domain).
The best papers in SDM16 will be invited to be expanded and submitted to a special issue in the Journal of Statistical Analysis and Data Mining.
Conflict of Interest Guidelines for Submissions
As part of the submission procedure authors are asked to mark conflicts of interest with Program Committee members.
A paper author has a conflict of interest with a Program Committee member if any of the following hold:
- The Program Committee member is an advisee or advisor of any one of the authors. This applies to current and former advisees and advisors.
- The Program Committee member is a collaborator or co-author within the last two years of one of the authors. Collaborations include things like joint papers published or in submission as well as joint projects either in progress or within the last two years.
- The Program Committee member is a relative or close personal friend of one of the authors.
- The Program Committee member is part of the same organization or has been a part of the same organization as one of the authors within the last two years.
Inaccurate representation of conflicts of interest can result in the paper being rejected without review at the discretion of the program chairs.
Authorial Integrity in Scientific Publication