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Applied data mining

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Applied data mining/ authors, Guandong Xu, Yu Zong, Zhenglu Yang.
Author:	Xu, Guandong.
other author:	Zong, Yu.
Published:	Boca Raton :Taylor & Francis, : 2013.,
Description:	1 online resource (xi, 272 p.) :ill. :
Subject:	Data mining. -
Online resource:	https://www.taylorfrancis.com/books/9780429074004
ISBN:	9781466585843 (electronic bk.)

Applied data mining
Xu, Guandong.

Applied data mining[electronic resource] /authors, Guandong Xu, Yu Zong, Zhenglu Yang. - Boca Raton :Taylor & Francis,2013. - 1 online resource (xi, 272 p.) :ill.

Includes bibliographical references and index.

"In past decades, data mining has witnessed substantial advances by efforts from various communities. On the other hand, new research questions and practical challenges are continuously presented due to newly emerging topics and applications within the various fields closely related to human daily life, e.g. social media and social networking. This book aims to bridge the gap between the existing research and application progresses in traditional data mining and the latest advances in newly emerging information services. It explores the extension of well-studied algorithms and approaches into these new research arenas"--

ISBN: 9781466585843 (electronic bk.)

LCCN: 2013018723Subjects--Topical Terms:

528622
Data mining.

LC Class. No.: QA76.9.D343 / X83 2013

Dewey Class. No.: 006.3/12

Applied data mining
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006 m o d
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008 250722s2013 flua ob 001 0 eng
010 $a 2013018723
020 $a 9781466585843 (electronic bk.)
020 $z 9781466585836 (hardback)
035 $a 17739325
040 $a DLC $b eng $c DLC $d DLC
050 0 0 $a QA76.9.D343 $b X83 2013
082 0 0 $a 006.3/12 $2 23
100 1 $a Xu, Guandong. $3 782251
245 1 0 $a Applied data mining $h [electronic resource] / $c authors, Guandong Xu, Yu Zong, Zhenglu Yang.
260 $a Boca Raton : $b Taylor & Francis, $c 2013.
300 $a 1 online resource (xi, 272 p.) : $b ill.
504 $a Includes bibliographical references and index.
520 $a "In past decades, data mining has witnessed substantial advances by efforts from various communities. On the other hand, new research questions and practical challenges are continuously presented due to newly emerging topics and applications within the various fields closely related to human daily life, e.g. social media and social networking. This book aims to bridge the gap between the existing research and application progresses in traditional data mining and the latest advances in newly emerging information services. It explores the extension of well-studied algorithms and approaches into these new research arenas"-- $c Provided by publisher.
588 $a Description based on print version record.
650 0 $a Data mining. $3 528622
700 1 $a Zong, Yu. $3 1098351
700 1 $a Yang, Zhenglu. $3 981607
856 4 0 $u https://www.taylorfrancis.com/books/9780429074004

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