Knowledge discovery with support vector machines

Knowledge discovery with support vector machines

Bibliographic Details
Main Author: Hamel, Lutz (Author)
Format: Book
Language:English
Published: Hoboken, NJ : John Wiley & Sons , c2009
Series:Wiley series on methods and applications in data mining.
Subjects:
Computer algorithms
Data mining
Machine learning
Support vector machines
Table of Contents:
  • 1. What is knowledge discovery?
  • 2. Knowledge discovery environments
  • 3. Describing data mathematically
  • 4. Linear decision surfaces and functions
  • 5. Perceptron learning
  • 6. Maximum-margin classifiers
  • 7. Support vector machines
  • 8. Implementation
  • 9. Evaluating what has been learned
  • 10. Elements of statistical learning theory
  • 11. Multiclass classification
  • 12. Regression with support vector machines
  • 13. Novelty detection

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