Submissions

Deadline Dates

Paper Submission Instructions

Papers submitted to this conference must not have been accepted or be under review by another conference with a published proceedings or by a journal. The work may be either theoretical or applied, but should make a significant contribution to the field.

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/SDM2014/ by 11:59 PM (PST), October 13, 2013.

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/books/authors/p_handbook8.php. The filename is soda2e.all. 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.

Submission Site

Visit the SDM14 Conference Submission Site at https://cmt.research.microsoft.com/SDM2014/ 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.

Paper Structure

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.

1. Background and Motivation (Specific to the application domain)
2. 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).
3. Empirical Evaluation (Self explanatory).
4. Significance and Impact (Provide concrete evidence of the potential significance and impact of your work in the given application domain).

The best papers in SDM14 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:

1. The Program Committee member is an advisee or advisor of any one of the authors. This applies to current and former advisees and advisors.
2. 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.
3. The Program Committee member is a relative or close personal friend of one of the authors.
4. 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

SIAM Policies and Procedures on Authorial Integrity.

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