Mathematical Methods for Knowledge Discovery and Data Mining

Mathematical Methods for Knowledge Discovery and Data Mining by Giovanni Felici epub pdf fb2

Title: Mathematical Methods for Knowledge Discovery and Data Mining
Author: Giovanni Felici
ISBN10: 1599045281
ISBN13: 978-1599045283
Publisher: Idea Group Reference (October 4, 2007)
Language: English
Subcategory: Skills
Size PDF: 1713 kb
Size Fb2: 1514 kb
Rating: 4.7/5
Votes: 242
Pages: 371 pages
Other Format: lit txt mobi docx

Mathematical Methods for Knowledge Discovery and Data Mining by Giovanni Felici


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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.