Mathematical Methods for Knowledge Discovery and Data Mining (Premier Reference Source) by Carlo Vercellis
Idea Group Reference | October 4, 2007 | English | ISBN: 1599045281 | 394 pages | PDF | 5 MB
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.