Data Mining is the science and technology of exploring large and complex bodies of data in order to discover useful patterns. It is extremely important because it enables modeling and knowledge extraction from abundant data availability.
This book introduces soft computing methods extending the envelope of problems that data mining can solve efficiently. It presents practical soft-computing approaches in data mining and includes various real-world case studies with detailed results.
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Data Mining is the science and technology of exploring large and complex bodies of data in order to discover useful patterns. It is extremely important because it enables modeling and knowledge extraction from abundant data availability.
This book introduces soft computing methods extending the envelope of problems that data mining can solve efficiently. It presents practical soft-computing approaches in data mining and includes various real-world case studies with detailed results.
Imprint | Springer-Verlag New York |
Country of origin | United States |
Release date | November 2010 |
Availability | Expected to ship within 10 - 15 working days |
First published | 2008 |
Editors | Oded Maimon, Lior Rokach |
Dimensions | 235 x 155 x 23mm (L x W x T) |
Format | Paperback |
Pages | 433 |
Edition | Softcover reprint of hardcover 1st ed. 2008 |
ISBN-13 | 978-1-4419-4351-4 |
Barcode | 9781441943514 |
Categories | |
LSN | 1-4419-4351-X |