Proceedings of the 2008 SIAM International Conference on Data Mining / Chid Apte, Haesun Park, Ke Wang, and Mohammad J. Zaki.

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Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Publisher: Philadelphia, Pennsylvania : Society for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104), [2008]Description: Online-Ressources (869 pages) : illustrationsISBN:

9781611972788

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Additional physical formats: 9780898716542 | Erscheint auch als: 9780898716542 Druck-AusgabeDDC classification:

005.74 22

MSC: MSC: *68-06 | 68P15 | 68T05 | 68T10 | 00B25DOI: DOI: 10.1137/1.9781611972788Online resources:

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Summary: Welcome to the SIAM International Conference on Data Mining (SDM 2008), being held at the Hyatt Regency hotel in Atlanta. This conference is the eighth in the SIAM series of conferences on data mining. This series has provided a venue for researchers to present their work in data mining in a peer-reviewed forum. It also provides an ideal setting for graduate students and other newcomers to the field to learn about cutting-edge research through outstanding invited lectures and tutorials. An exciting set of focused workshops are also being held on the last day of the conference. The SIAM conference series has traditionally focused on the theory, algorithms, and application of data mining in the context of datasets in science, engineering, biomedicine, and the social sciences. These datasets challenge our ability to analyze them due to their size and complexity. Sophisticated, high-performance, and principled analysis methodologies, as well as algorithms based on sound theoretical and statistical foundations, are often required to mine these types of datasets. Appropriate levels of abstraction that allow end-users to exploit these sophisticated techniques and understand clearly both the constraints and the interpretation of results remain as some of the most challenging and important open issues in the field. The centerpiece of our conference this year is a series of four keynote lectures by Ronald Coifman from Yale University, Andrew Moore from Google, Dianne O'Leary from the University of Maryland College Park, and Krishna Rajan from Iowa State University. In addition to a strong technical program of contributed papers, there will be a set of interesting tutorials that are an integral part of the program, as well as workshops that allow an even deeper focus on sub-areas that are of great interest to the community. This year we continue a popular feature - the poster session and reception that will follow a "poster" plenary session in which poster authors will be able to make short presentations highlighting their work. Finally, as part of our theme of focusing on the region where the conference is being held, the Georgia Institute of Technology and partnering academic institutions have arranged a special invited session with speakers from the local universities. They will host a special reception on Friday where local data mining research activities will be highlighted in a poster session format. We would like to thank the entire organizing committee for the excellent job they have done putting together a strong technical program. We especially thank Mohammed Zaki and Ke Wang for recruiting the program committee, guiding the submitted papers through the review process, and making the final decisions. We also thank Ian Davidson, the tutorial chair; Huan Liu, the workshop chair; Wei Wang, the proceedings chair; David Skillicorn, the posters chair; Pang-Ning Tan, the publicity chair, and Michael Berthold and Shusaku Tsumoto, the regional publicity chairs; Hillol Kargupta and Jaideep Srivastava, who arranged for sponsorships to support this event; and Hongyuan Zha and Roy George for making local arrangements. We would like to thank the steering committee members, Arnold Goodman, Robert Grossman, Jiawei Han, Anil K. Jain, Vipin Kumar, David Skillicorn, Padhraic Smyth, and Jeffrey D. Ullman, who made invaluable contributions in setting the general direction of the conference. This conference is being co-sponsored by the American Statistical Association, continuing a trend towards greater collaboration between our two communities. In addition, we would like to thank all our financial sponsors who have generously contributed. We would also like to thank the SIAM staff members especially Nicole Jorlett and Linda Thiel who oversaw all the critical logistics and made the smooth operation of the entire conference possible. Finally, we thank the authors and the participants who are the primary reason for the success of the conference. We hope you all enjoy your time together in Atlanta!PPN: PPN: 1678052213Package identifier: Produktsigel: ZDB-72-SIA | ZDB-72-SIB

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