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|a 9783319419206
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|a Perner, Petra
|e [editor]
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|a Machine Learning and Data Mining in Pattern Recognition
|h Elektronische Ressource
|b 12th International Conference, MLDM 2016, New York, NY, USA, July 16-21, 2016, Proceedings
|c edited by Petra Perner
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250 |
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|a 1st ed. 2016
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260 |
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|a Cham
|b Springer International Publishing
|c 2016, 2016
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300 |
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|a XIII, 807 p. 291 illus
|b online resource
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|a Classification -- Clustering -- Association rule -- Pattern mining -- Image mining.-Text mining -- Video mining -- Web mining
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653 |
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|a Algorithms
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653 |
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|a Artificial Intelligence
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653 |
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|a Data mining
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653 |
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|a Database Management
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653 |
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|a Application software
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653 |
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|a Artificial intelligence
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653 |
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|a Data Mining and Knowledge Discovery
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653 |
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|a Computer and Information Systems Applications
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653 |
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|a Automated Pattern Recognition
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653 |
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|a Database management
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653 |
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|a Pattern recognition systems
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|a eng
|2 ISO 639-2
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|b Springer
|a Springer eBooks 2005-
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|a Lecture Notes in Artificial Intelligence
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|a 10.1007/978-3-319-41920-6
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|u https://doi.org/10.1007/978-3-319-41920-6?nosfx=y
|x Verlag
|3 Volltext
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|a 006.3
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|a This book constitutes the refereed proceedings of the 12th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2016, held in New York, NY, USA in July 2016. The 58 regular papers presented in this book were carefully reviewed and selected from 169 submissions. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multimedia data types such as image mining, text mining, video mining and Web mining
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