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MLDM (Conference) (2017 :)

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Machine learning and data mining in pattern recognition = 13th International Conference, MLDM 2017, New York, NY, USA, July 15-20, 2017 : proceedings /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Machine learning and data mining in pattern recognition/ edited by Petra Perner.
Reminder of title:	13th International Conference, MLDM 2017, New York, NY, USA, July 15-20, 2017 : proceedings /
remainder title:	MLDM 2017
other author:	Perner, Petra.
corporate name:	MLDM (Conference)
Published:	Cham :Springer International Publishing : : 2017.,
Description:	ix, 452 p. :ill., digital ;24 cm.
[NT 15003449]:	Classification -- Clustering -- Association rule -- Pattern mining -- Specific data mining methods -- Different multi-media data types -- Image mining -- Text mining -- Video mining -- Web mining.
Contained By:	Springer eBooks
Subject:	Pattern perception - Congresses. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-62416-7
ISBN:	9783319624167

Machine learning and data mining in pattern recognition = 13th International Conference, MLDM 2017, New York, NY, USA, July 15-20, 2017 : proceedings /
Machine learning and data mining in pattern recognition13th International Conference, MLDM 2017, New York, NY, USA, July 15-20, 2017 : proceedings /[electronic resource] :MLDM 2017edited by Petra Perner. - Cham :Springer International Publishing :2017. - ix, 452 p. :ill., digital ;24 cm. - Lecture notes in computer science,103580302-9743 ;. - Lecture notes in computer science ;10358..

Classification -- Clustering -- Association rule -- Pattern mining -- Specific data mining methods -- Different multi-media data types -- Image mining -- Text mining -- Video mining -- Web mining.

This book constitutes the refereed proceedings of the 13th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2017, held in New York, NY, USA in July/August 2017. The 31 full papers presented in this book were carefully reviewed and selected from 150 submissions. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multi-media data types such as image mining, text mining, video mining, and Web mining.

ISBN: 9783319624167

Standard No.: 10.1007/978-3-319-62416-7doiSubjects--Topical Terms:

543179
Pattern perception
--Congresses.

LC Class. No.: Q327

Dewey Class. No.: 006.31

Machine learning and data mining in pattern recognition = 13th International Conference, MLDM 2017, New York, NY, USA, July 15-20, 2017 : proceedings /
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