Mathematical methods for knowledge discovery and data mining /

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Bibliographic Details
Imprint:Hershey : Information Science Reference, c2008.
Description:xxi, 369 p. : ill. ; 29 cm.
Language:English
Subject:Data mining.
Data mining -- Mathematical models.
Knowledge acquisition (Expert systems)
Data mining.
Knowledge acquisition (Expert systems)
Electronic books.
Electronic book collection.
Format: Print Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/6819974
Hidden Bibliographic Details
Other authors / contributors:Felici, Giovanni.
Vercellis, Carlo.
ISBN:9781599045283 (hardcover)
1599045281 (hardcover)
9781599045306 (ebook)
1599045303 (ebook)
Notes:"Premier reference source"--Cover.
Includes bibliographical references (p. 338-360) and index.
Access may be limited to subscribing institutions.
Available also in a print ed.
Mode of access: Internet via World Wide Web.
Summary:"This book 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; an invaluable resource for scholars and practitioners in the fields of biomedicine, engineering, finance, manufacturing, marketing, performance measurement, and telecommunications"--Provided by publisher.