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Advances in Data Mining: Applications and Theoretical Aspects
Petra . Ed(S): Perner
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Description for Advances in Data Mining: Applications and Theoretical Aspects
Paperback. Editor(s): Perner, Petra. Series: Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence. Num Pages: 291 pages, 73 black & white illustrations, biography. BIC Classification: UG; UNF. Category: (G) General (US: Trade). Dimension: 235 x 155 x 15. Weight in Grams: 450.
This book constitutes the refereed proceedings of the 13th Industrial Conference on Data Mining, ICDM 2013, held in New York, NY, in July 2013. The 22 revised full papers presented were carefully reviewed and selected from 112 submissions. The topics range from theoretical aspects of data mining to applications of data mining, such as in multimedia data, in marketing, finance and telecommunication, in medicine and agriculture, and in process control, industry and society.
This book constitutes the refereed proceedings of the 13th Industrial Conference on Data Mining, ICDM 2013, held in New York, NY, in July 2013. The 22 revised full papers presented were carefully reviewed and selected from 112 submissions. The topics range from theoretical aspects of data mining to applications of data mining, such as in multimedia data, in marketing, finance and telecommunication, in medicine and agriculture, and in process control, industry and society.
Product Details
Format
Paperback
Publication date
2013
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
291
Condition
New
Series
Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence
Number of Pages
281
Place of Publication
Berlin, Germany
ISBN
9783642397356
SKU
V9783642397356
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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