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Mathematical methods for knowledge d...
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ProQuest (Firm)
Mathematical methods for knowledge discovery and data mining
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Mathematical methods for knowledge discovery and data mining/ Giovanni Felici & Carlo Vercellis, editors.
Author:
Felici, Giovanni.
other author:
Vercellis, Carlo.
Published:
Hershey, PA :Information Science Reference, : 2008.,
Description:
xxi, 369 p.
Subject:
Knowledge acquisition (Expert systems) -
Online resource:
Click to View
Mathematical methods for knowledge discovery and data mining
Felici, Giovanni.
Mathematical methods for knowledge discovery and data mining
[electronic resource] /Giovanni Felici & Carlo Vercellis, editors. - Hershey, PA :Information Science Reference,2008. - xxi, 369 p.
Includes bibliographical references and index.
"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.
Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
Subjects--Topical Terms:
567486
Knowledge acquisition (Expert systems)
Index Terms--Genre/Form:
554714
Electronic books.
LC Class. No.: QA76.9.D343 / F46 2008
Dewey Class. No.: 006.3/12
Mathematical methods for knowledge discovery and data mining
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Giovanni Felici & Carlo Vercellis, editors.
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Information Science Reference,
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Includes bibliographical references and index.
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"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.
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