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: 239 pages, 74 black & white illustrations, biography. BIC Classification: UG; UNF; UNH; UYQ; UYT. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 13. Weight in Grams: 373.
This book constitutes the refereed proceedings of the 14th Industrial Conference on Advances in Data Mining, ICDM 2014, held in St. Petersburg, Russia, in July 2014. The 16 revised full papers presented were carefully reviewed and selected from various submissions. The topics range from theoretical aspects of data mining to applications of data mining, such as in multimedia data, in marketing, in medicine and agriculture and in process control, industry and society.
This book constitutes the refereed proceedings of the 14th Industrial Conference on Advances in Data Mining, ICDM 2014, held in St. Petersburg, Russia, in July 2014. The 16 revised full papers presented were carefully reviewed and selected from various submissions. The topics range from theoretical aspects of data mining to applications of data mining, such as in multimedia data, in marketing, in medicine and agriculture and in process control, industry and society.
Product Details
Format
Paperback
Publication date
2014
Publisher
Springer International Publishing AG Switzerland
Number of pages
239
Condition
New
Series
Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence
Number of Pages
229
Place of Publication
Cham, Switzerland
ISBN
9783319089751
SKU
V9783319089751
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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