Mathematical Methods for Knowledge Discovery and Data Mining

Bys: Felici, Giovanni and Vercellis, Carlo

The field of data mining has seen a demand in recent years for the development of ideas and results in an integrated structure. Mathematical Methods for Knowledge Discovery & Data Mining focuses on the mathematical models and methods that support most data mining applications and solution techniques, covering such topics as association rules; Bayesian methods; data visualization; kernel methods; neural networks; text, speech, and image recognition; and many others. This Premier Reference Source is an invaluable resource for scholars and practitioners in the fields of biomedicine, engineering, finance and insurance, manufacturing, marketing, performance measurement, and telecommunications

• Format: Hardcover
• Language: English
• ISBN: 1599045281
• ISBN13: 9781599045283
• Release Date: October 2007
• Publisher: Igi Global Scientific Publishing
• Length: 369 Pages
• Weight: 3.02 lbs.
• Dimensions: 1.1" x 8.7" x 11.2"