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Visual Data MiningTheory, Techniques and Tools for Visual Analytics /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Visual Data Miningedited by Simeon J. Simoff, Michael H. Bohlen, Arturas Mazeika.
Reminder of title:	Theory, Techniques and Tools for Visual Analytics /
other author:	Mazeika, Arturas.
Published:	Berlin, Heidelberg :Springer-Verlag Berlin Heidelberg,2008.
Description:	x, 406 p. :ill., digital ;24 cm.
Series:	Lecture Notes in Computer Science,
Contained By:	Springer eBooks
Subject:	Data mining.
Online resource:	http://dx.doi.org/10.1007/978-3-540-71080-6
ISBN:	9783540710790 (paper)

Visual Data MiningTheory, Techniques and Tools for Visual Analytics /
Visual Data MiningTheory, Techniques and Tools for Visual Analytics /[electronic resource] :edited by Simeon J. Simoff, Michael H. Bohlen, Arturas Mazeika. - Berlin, Heidelberg :Springer-Verlag Berlin Heidelberg,2008. - x, 406 p. :ill., digital ;24 cm. - Lecture Notes in Computer Science,44040302-9743 ;.

ISBN: 9783540710790 (paper)Subjects--Topical Terms:

184440
Data mining.

Dewey Class. No.: 006.312

Visual Data MiningTheory, Techniques and Tools for Visual Analytics /
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245 0 0 $a Visual Data Mining $b Theory, Techniques and Tools for Visual Analytics / $c edited by Simeon J. Simoff, Michael H. Bohlen, Arturas Mazeika. $h [electronic resource] :
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300 $a x, 406 p. : $b ill., digital ; $c 24 cm.
440 0 $a Lecture Notes in Computer Science, $v 4404 $x 0302-9743 ;
650 # 0 $a Data mining. $3 184440
650 # 0 $a Visual analytics. $3 285731
650 # 0 $a Computer Science. $3 212513
650 # 0 $a Computer Graphics. $3 274515
650 # 0 $a Data Mining and Knowledge Discovery. $3 275288
650 # 0 $a Information Storage and Retrieval. $3 274190
700 0 # $a Mazeika, Arturas. $3 285730
700 0 # $a Simoff, Simeon J. $3 279074
700 0 # $a Bohlen, Michael. $3 284458
710 0 # $a SpringerLink (Online service) $3 273601
773 0 # $t Springer eBooks
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950 $a Computer Science (Springer-11645; ZDB-2-SCS)

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EB QA76.9.D343 V834 2008

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http://libsw.nuk.edu.tw/login?url=http://dx.doi.org/10.1007/978-3-540-71080-6

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