Giovanni Felici & Carlo Vercellis, "Mathematical Methods for Knowledge Discovery and Data Mining"
Idea Group Publishing | ISBN: 1599045281 | 2000. | 394 p. | RARed PDF 5.71MB
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...