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|a Machine Learning and Data Mining in Pattern Recognition
|h [electronic resource] :
|b 13th International Conference, MLDM 2017, New York, NY, USA, July 15-20, 2017, Proceedings /
|c edited by Petra Perner.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2017.
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| 300 |
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|a IX, 452 p. 129 illus.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
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|a text file
|b PDF
|2 rda
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|a Lecture Notes in Computer Science,
|x 0302-9743 ;
|v 10358
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| 505 |
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|a Classification -- Clustering -- Association rule -- Pattern mining -- Specific data mining methods -- Different multi-media data types -- Image mining -- Text mining -- Video mining -- Web mining. .
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|a 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.
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| 650 |
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|a Computer science.
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| 650 |
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|a Algorithms.
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| 650 |
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|a Database management.
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| 650 |
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|a Data mining.
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| 650 |
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|a Artificial intelligence.
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| 650 |
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|a Pattern recognition.
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| 650 |
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4 |
|a Computer Science.
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| 650 |
2 |
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|a Artificial Intelligence (incl. Robotics).
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| 650 |
2 |
4 |
|a Data Mining and Knowledge Discovery.
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| 650 |
2 |
4 |
|a Pattern Recognition.
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| 650 |
2 |
4 |
|a Algorithm Analysis and Problem Complexity.
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| 650 |
2 |
4 |
|a Information Systems Applications (incl. Internet).
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| 650 |
2 |
4 |
|a Database Management.
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| 700 |
1 |
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|a Perner, Petra.
|e editor.
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| 710 |
2 |
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|a SpringerLink (Online service)
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|t Springer eBooks
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| 776 |
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|i Printed edition:
|z 9783319624150
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| 830 |
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|a Lecture Notes in Computer Science,
|x 0302-9743 ;
|v 10358
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| 856 |
4 |
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|u http://dx.doi.org/10.1007/978-3-319-62416-7
|z Full Text via HEAL-Link
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| 912 |
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|a ZDB-2-SCS
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| 912 |
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|a ZDB-2-LNC
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| 950 |
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|a Computer Science (Springer-11645)
|
