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Liu, Huan, Huan, Liu - Feature Extraction, Construction and Selection: A Data Mining Perspective (The Springer International Series in Engineering and Computer Science) - 9780792381969 - V9780792381969
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Feature Extraction, Construction and Selection: A Data Mining Perspective (The Springer International Series in Engineering and Computer Science)

€ 240.54
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Description for Feature Extraction, Construction and Selection: A Data Mining Perspective (The Springer International Series in Engineering and Computer Science) Hardcover. Data pre-processing is an essential step in the knowledge discovery process for real-world applications. This book compiles contributions from researchers in this field and offers the techniques that can boost the capabilities of many data mining tools. It is suitable for researchers and graduate students in machine learning and data mining. Series: The Springer International Series in Engineering and Computer Science. Num Pages: 434 pages, biography. BIC Classification: UN. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 235 x 155 x 25. Weight in Grams: 791.
There is broad interest in feature extraction, construction, and selection among practitioners from statistics, pattern recognition, and data mining to machine learning. Data preprocessing is an essential step in the knowledge discovery process for real-world applications. This book compiles contributions from many leading and active researchers in this growing field and paints a picture of the state-of-art techniques that can boost the capabilities of many existing data mining tools. The objective of this collection is to increase the awareness of the data mining community about the research of feature extraction, construction and selection, which are currently conducted mainly in isolation. ... Read more

Product Details

Format
Hardback
Publication date
1998
Publisher
Springer
Condition
New
Number of Pages
410
Place of Publication
Dordrecht, Netherlands
ISBN
9780792381969
SKU
V9780792381969
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

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