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Applied machine learning for smart d...

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Dey, Nilanjan, (1984-)

Applied machine learning for smart data analysis

Record Type:	Electronic resources : Monograph/item
Title/Author:	Applied machine learning for smart data analysisedited by Nilanjan Dey ... [et al.].
other author:	Dey, Nilanjan,
Published:	Boca Raton, FL :CRC Press,c2019.
Description:	1 online resource.
Subject:	Data miningIndustrial applications.
Online resource:	https://www.taylorfrancis.com/books/9780429440953
ISBN:	9780429440953$q(electronic bk.)

Applied machine learning for smart data analysis
Applied machine learning for smart data analysis[electronic resource] /edited by Nilanjan Dey ... [et al.]. - 1st ed. - Boca Raton, FL :CRC Press,c2019. - 1 online resource. - Computational intelligence in engineering problem solving. - Computational intelligence in engineering problem solving..

ISBN: 9780429440953$q(electronic bk.)Subjects--Topical Terms:

906479
Data mining
--Industrial applications.

LC Class. No.: QA76.9.D343

Dewey Class. No.: 006.3/12

Applied machine learning for smart data analysis
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006 m o d
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008 220216s2019 flu o 000 0 eng d
020 $a 9780429440953$q(electronic bk.)
020 $a 0429440952$q(electronic bk.)
020 $z 9781138339798$q(hbk.)
035 $a 9780429440953
040 $a OCoLC-P $b eng $c OCoLC-P
041 0 $a eng
050 4 $a QA76.9.D343
082 0 4 $a 006.3/12 $2 23
245 0 0 $a Applied machine learning for smart data analysis $h [electronic resource] / $c edited by Nilanjan Dey ... [et al.].
250 $a 1st ed.
260 $a Boca Raton, FL : $b CRC Press, $c c2019.
300 $a 1 online resource.
490 1 $a Computational intelligence in engineering problem solving
588 $a Description based on print version record.
650 0 $a Data mining $x Industrial applications. $3 906479
650 0 $a Electronic data processing. $3 201945
700 1 $a Dey, Nilanjan, $d 1984- $e editor. $3 777840
830 0 $a Computational intelligence in engineering problem solving. $3 906478
856 4 0 $u https://www.taylorfrancis.com/books/9780429440953

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EB QA76.9.D343 c2019

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https://www.taylorfrancis.com/books/9780429440953

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