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Advances in Data Mining
Petra . Ed(S): Perner
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Description for Advances in Data Mining
Paperback. Editor(s): Perner, Petra. Series: Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence. Num Pages: 413 pages, biography. BIC Classification: UG; UKR; UNF; UYQ. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 23. Weight in Grams: 635.
This volume comprises the proceedings of the Industrial Conference on Data Mining (ICDM 2009) held in Leipzig (www.data-mining-forum.de). For this edition the Program Committee received 130 submissions. After the pe- review process, we accepted 32 high-quality papers for oral presentation that are included in this book. The topics range from theoretical aspects of data mining to app- cations of data mining, such as on multimedia data, in marketing, finance and telec- munication, in medicine and agriculture, and in process control, industry and society. Ten papers were selected for poster presentations that are published in the ICDM Poster Proceedings Volume by ... Read more
This volume comprises the proceedings of the Industrial Conference on Data Mining (ICDM 2009) held in Leipzig (www.data-mining-forum.de). For this edition the Program Committee received 130 submissions. After the pe- review process, we accepted 32 high-quality papers for oral presentation that are included in this book. The topics range from theoretical aspects of data mining to app- cations of data mining, such as on multimedia data, in marketing, finance and telec- munication, in medicine and agriculture, and in process control, industry and society. Ten papers were selected for poster presentations that are published in the ICDM Poster Proceedings Volume by ... Read more
Product Details
Format
Paperback
Publication date
2009
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
413
Condition
New
Series
Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence
Number of Pages
402
Place of Publication
Berlin, Germany
ISBN
9783642030666
SKU
V9783642030666
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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