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Foundations of Computational Intelligence - Volume 6: Data Mining (Hardcover, 2009 ed.) Loot Price: R4,230
Discovery Miles 42 300
Foundations of Computational Intelligence - Volume 6: Data Mining (Hardcover, 2009 ed.): Ajith Abraham, Aboul Ella Hassanien,...

Foundations of Computational Intelligence - Volume 6: Data Mining (Hardcover, 2009 ed.)

Ajith Abraham, Aboul Ella Hassanien, Andre Ponce de Leon F.de Carvalho, Vaclav Snasel

Series: Studies in Computational Intelligence, 206

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Loot Price R4,230 Discovery Miles 42 300 | Repayment Terms: R396 pm x 12*

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Foundations of Computational Intelligence Volume 6: Data Mining: Theoretical Foundations and Applications Finding information hidden in data is as theoretically difficult as it is practically important. With the objective of discovering unknown patterns from data, the methodologies of data mining were derived from statistics, machine learning, and artificial intelligence, and are being used successfully in application areas such as bioinformatics, business, health care, banking, retail, and many others. Advanced representation schemes and computational intelligence techniques such as rough sets, neural networks; decision trees; fuzzy logic; evolutionary algorithms; arti- cial immune systems; swarm intelligence; reinforcement learning, association rule mining, Web intelligence paradigms etc. have proved valuable when they are - plied to Data Mining problems. Computational tools or solutions based on intel- gent systems are being used with great success in Data Mining applications. It is also observed that strong scientific advances have been made when issues from different research areas are integrated. This Volume comprises of 15 chapters including an overview chapter providing an up-to-date and state-of-the research on the applications of Computational Int- ligence techniques for Data Mining. The book is divided into 3 parts: Part-I: Data Click Streams and Temporal Data Mining Part-II: Text and Rule Mining Part-III: Applications Part I on Data Click Streams and Temporal Data Mining contains four chapters that describe several approaches in Data Click Streams and Temporal Data Mining.

General

Imprint: Springer-Verlag
Country of origin: Germany
Series: Studies in Computational Intelligence, 206
Release date: April 2009
First published: 2009
Editors: Ajith Abraham • Aboul Ella Hassanien • Andre Ponce de Leon F.de Carvalho • Vaclav Snasel
Dimensions: 235 x 155 x 27mm (L x W x T)
Format: Hardcover
Pages: 400
Edition: 2009 ed.
ISBN-13: 978-3-642-01090-3
Categories: Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers
Books > Computing & IT > Applications of computing > Artificial intelligence > General
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LSN: 3-642-01090-3
Barcode: 9783642010903

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