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Advances in Data Mining. Applications and Theoretical Aspects [electronic resource] : 11th Industrial Conference, ICDM 2011, New York, NY, USA, August 30 – September 3, 2011. Proceedings / edited by Petra Perner.

By: Perner, Petra [editor.].
Contributor(s): SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Computer Science: 6870Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011Description: XI, 329 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642231841.Subject(s): Computer science | Database management | Data mining | Information systems | Multimedia systems | Artificial intelligence | Computer vision | Computer Science | Data Mining and Knowledge Discovery | Multimedia Information Systems | Image Processing and Computer Vision | Information Systems Applications (incl.Internet) | Database Management | Artificial Intelligence (incl. Robotics)DDC classification: 006.312 Online resources: Click here to access online In: Springer eBooksSummary: This book constitutes the refereed proceedings of the 11th Industrial Conference on Data Mining, ICDM 2011, held in New York, USA in September 2011. The 22 revised full papers presented were carefully reviewed and selected from 100 submissions. The papers are organized in topical sections on data mining in medicine and agriculture, data mining in marketing,  data mining for Industrial processes and in telecommunication, Multimedia Data Mining, theoretical aspects of data mining, Data Warehousing, WebMining and Information Mining.
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This book constitutes the refereed proceedings of the 11th Industrial Conference on Data Mining, ICDM 2011, held in New York, USA in September 2011. The 22 revised full papers presented were carefully reviewed and selected from 100 submissions. The papers are organized in topical sections on data mining in medicine and agriculture, data mining in marketing,  data mining for Industrial processes and in telecommunication, Multimedia Data Mining, theoretical aspects of data mining, Data Warehousing, WebMining and Information Mining.

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