Proceedings of the 2012 SIAM International Conference on Data Mining / Joydeep Ghosh, Huan Liu, Ian Davidson, Carlotta Domeniconi and Chandrika Kamath, editors.

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Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Verlag: Philadelphia, Pennsylvania : Society for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104), [2012]Beschreibung: Online-Ressources (1150 pages) : illustrationsISBN:

9781611972825

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Andere physische Formen: 9781611972320 | Erscheint auch als: 9781611972320 Druck-AusgabeDDC-Klassifikation:

005.74 22

DOI: DOI: 10.1137/1.9781611972825Online-Ressourcen:

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Zusammenfassung: Welcome to SDM 2012 -- The Twelfth SIAM International Conference on Data Mining, held in Anaheim, CA, home of Disneyland! SDM-2012 continues the series of conferences focusing on the theory and practice of data mining as applied to large data sets in science, engineering, biomedicine, and the social sciences, among others. The conference has a rich program; in addition to strong technical papers, there is also a broad set of tutorials, workshops and mini-symposia. Building on the success of the doctoral forum held in previous years, this year will see a continuation of this popular event. The strong program is also complemented by four keynote talks by renowned researchers from academia and industry: Noshir Contractor from Northwestern, Susan Dumais from Microsoft Research, R. Bharat Rao from Siemens Healthcare, and Qiang Yang from HKUST, Hong Kong, who will share their experiences and wisdom with us. A major conference like SDM is not possible without a team of dedicated people who volunteer their time and effort to serve the community. We would like to thank the entire organizing committee for the excellent job that they have done putting together a strong technical program. Special thanks go to the program co-chairs, Ian Davidson and Carlotta Domeniconi. They recruited the area chairs and the program committee, guided the papers submitted through a thorough and high-standard review process, worked with the reviewers to find the highest quality submissions. We also thank Nitin Agarwal for serving as publicity chair; Jennifer Dy and Jimeng Sun for attracting corporate and government sponsorship to support the event; Nitesh Chawla for putting together a strong tutorial program; Rui Kuang and Chandan Reddy for attracting and identifying a strong set of workshops to complement the main conference program; Yan Liu, who single-handedly served as the local arrangements chair; and the doctoral forum organizers: Jennifer Dy, Yan Liu, and Jimeng Sun. We also thank the tutorial speakers and workshop organizers for their efforts in bringing recent developments in data mining to the attention of the conference participants. This is the first SDM conference since the formation of the SIAM Activity Group (SIAG) on Data Mining and Analytics in August 2011, We encourage you to join SIAG-DMA, which will be responsible for putting the conference on a firmer footing and streamlining its organization. In celebration of the creation of SIAG-DMA, we have organized a joint mini-symposium with the SIAG on Uncertainty Quantification to explore opportunities for collaboration and exchange of ideas between the two areas. We would like to thank our sponsors, Google, the DMKD Journal/Springer, IBM Research, the National Science Foundation for their strong support of the conference, particularly, the travel grants for student authors and the doctoral forum. Our special thanks go to the SIAM staff members, specifically Nicole Erle, Kristin OíNeill, and Linda Thiel, who provided critical guidance and support overseeing all the logistics and making the smooth operation of the entire conference possible. The conference is co-sponsored by the American Statistical Association, continuing our desire to seek closer collaboration between our two communities. Finally, we thank the authors and the participants, who are the primary reason for the success of the conference. We trust you will enjoy our ìmagicalî time together at SDM 2012, and that the conference will prove fruitful to you.PPN: PPN: 1678052051Package identifier: Produktsigel: ZDB-72-SIA | ZDB-72-SIB

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