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Mathematical methods for knowledge d...

ProQuest (Firm)

Mathematical methods for knowledge discovery and data mining

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Mathematical methods for knowledge discovery and data mining/ Giovanni Felici & Carlo Vercellis, editors.
作者:	Felici, Giovanni.
其他作者:	Felici, Giovanni.
出版者:	Hershey, PA :Information Science Reference, : 2008.,
面頁冊數:	xxi, 369 p.
標題:	Data mining. -
電子資源:	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:

528622
Data mining.
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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020 $z 9781599045283 (hardcover)
020 $z 9781599045306 (ebook)
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035 $a (CaPaEBR)ebr10191882
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245 1 0 $a Mathematical methods for knowledge discovery and data mining $h [electronic resource] / $c Giovanni Felici & Carlo Vercellis, editors.
260 $a Hershey, PA : $b Information Science Reference, $c 2008.
300 $a xxi, 369 p.
504 $a Includes bibliographical references and index.
520 $a "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.
533 $a Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
650 0 $a Data mining. $3 528622
650 0 $a Data mining $x Mathematical models. $3 567485
650 0 $a Knowledge acquisition (Expert systems) $3 567486
655 4 $a Electronic books. $2 local $3 554714
700 1 $a Felici, Giovanni. $3 567487
700 1 $a Vercellis, Carlo. $3 567488
710 2 $a ProQuest (Firm) $3 1133097
856 4 0 $u https://ebookcentral.proquest.com/lib/nfu/detail.action?docID=3309212 $z Click to View

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