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SAC-DM Track 2009 : ACM Symposium on Applied Computing, Data Mining Track | |||||||||||||
Link: http://database.cs.wayne.edu/sac2009/ | |||||||||||||
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Call For Papers | |||||||||||||
We are pleased to solicit original, unpublished and novel papers for publication and presentation in the 2009 ACM Symposium on Applied Computing (SAC) Track on Data Mining. Articles describing novel ideas and applications in all areas of data mining are of interest. This year, emphasis and special considerations will be given to papers addressing issues in scientific data exploration and mining. 2009 ACM SAC Data
Mining Track will be held at Honolulu, Hawaii, USA from March 8-12, 2009. ACM SAC Data Mining has a successful history of accepting quality papers and offering a stimulating platform for the exchange of ideas and dissiminating cutting edge research to the community. The 2009 ACM SAC Data Mining Track is the eighth such event in the 23 years of ACM SAC tradition. The ACM Symposium on Applied Computing is recognized as a primary forum for applied computer scientists and application developers from around the world to interact and present their work. SAC 2009 is sponsored by the ACM Special Interest Group on Applied Computing (SIGAPP) and is presented in cooperation with other ACM Special Interest Groups. For more information on ACM SAC 2009, please visit http://www.acm.org/conferences/sac/sac2009/. Paper Registration and Submission Guidelines: Authors must register their intent to submit a paper using the conference management system, eCMS system at http://sac.cs.iupui.edu/SAC2009/. Authors will use this system for formal paper submission and other correspondence. All papers should represent original and previously unpublished work that are currently not under review in any conference or journal. Both basic and applied research papers are welcome. The submitted papers should follow the template found at http://www.acm.org/conferences/sac/sac2009/downloads09.htm. Submitted papers must not be more than 8 pages long in this template. Papers that fail to comply with length limitations risk rejection. Although the submitted version may be of 8 pages long, the final version cannot be more that 5 pages long without any extra page fee. Authors of accepted papers may purchase upto 3 extra pages (a total of 8 pages per paper) at the rate of $80 (US) per page. ACM SAC follows a double blind review process. Consequently, the author(s) name(s) and address(s) must NOT appear in the body of the submitted paper, and self-references should be in the third person. This is to facilitate double blind review required by ACM. All submitted papers must include the paper identification number provided by the eCMS system when the paper is first registered. The number must appear on the front page, above the title of the paper. All enquiries and questions should be directed to the Track Chairs. Additional details are available on the track home page at http://database.cs.wayne.edu/sac2009/ and at the conference home page at http://www.acm.org/conferences/sac/sac2009. Paper Publication: All papers will be fully refereed and undergo a blind review process by at least three referees. The conference proceedings will be published by ACM. Hence, all accepted papers should be submitted in ACM 2-column camera-ready format for publication in the symposium proceedings. The final version of the paper should not be more than 5 pages long. Poster Publication of Selected Papers: A set of selected papers will be accepted as poster papers by invitation only and will be published as short papers in the symposium proceedings. Paper Submission Deadlines: Registration of papers by authors: August 16, 2008 Submission of papers by authors: August 16, 2008 Notification of paper acceptance/rejection: October 11, 2008 Camera-ready copies of accepted papers: October 25, 2008 Track Chair: Hasan Jamil Department of Computer Science Wayne State University USA Email: jamil[at]cs.wayne.edu Track Co-Chairs: Chandan Reddy Department of Computer Science Wayne State University USA E-mail: reddy[at]cs.wayne.edu Osmar Zaiane Department of Computer Science University of Alberta Canada E-mail: zaiane[at]cs.ualberta.ca |
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