Knowledge Discovery with Support Vector Machines
Language: English
Published by John Wiley and Sons Ltd, 2009
Series: Book 2 of 7 - Wiley Series on Methods and Applications in Data Mining
- First Edition
- Hardcover
- New
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrelandKennys Bookshop and Art Galleries Ltd.
AbeBooks seller since February 27, 2001
Condition: New
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Add to basketItem description from seller
Support Vector Machines (SVM technology) is one of the most user-friendly learning technologies available. Knowledge Discovery with Support Vector Machines provides an accessible introduction to model building and knowledge discovery with one of the preeminent algorithms. Series: Wiley Series on Methods and Applications in Data Mining. Num Pages: 246 pages, Illustrations. BIC Classification: UND. Category: (P) Professional & Vocational. Dimension: 163 x 237 x 19. Weight in Grams: 534. . 2009. 1st Edition. Hardcover. . . . .
Seller Inventory # V9780470371923
- Title
- Knowledge Discovery with Support Vector Machines
- Author
- Lutz H. Hamel
- Publisher
- John Wiley and Sons Ltd
- Publication year
- 2009
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 0470371927
- ISBN 13
- 9780470371923
- Edition
- 1st Edition
- Series
- Book 2 of 7: Wiley Series on Methods and Applications in Data Mining
This book provides an in-depth, easy-to-follow introduction to support vector machines drawing only from minimal, carefully motivated technical and mathematical background material. It begins with a cohesive discussion of machine learning and goes on to cover:
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Knowledge discovery environments
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Describing data mathematically
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Linear decision surfaces and functions
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Perceptron learning
-
Maximum margin classifiers
-
Support vector machines
-
Elements of statistical learning theory
-
Multi-class classification
-
Regression with support vector machines
-
Novelty detection
Complemented with hands-on exercises, algorithm descriptions, and data sets, Knowledge Discovery with Support Vector Machines is an invaluable textbook for advanced undergraduate and graduate courses. It is also an excellent tutorial on support vector machines for professionals who are pursuing research in machine learning and related areas.
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"About the title" may belong to another edition of this title.
Kennys Bookshop and Art Galleries Ltd.
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