This book constitutes the refereed proceedings of the 9th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2013, held in New York, USA in July 2013. The 51 revised full papers presented were carefully reviewed and selected from 212 submissions. The papers cover the topics ranging 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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The papers cover the topics ranging 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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Theoretical topics for classification.- Clustering.- Association rule and pattern mining.- Specific data mining methods for the different multimedia data types.- Image mining.- Text mining.- Video mining.-Web mining.
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Proceedings of the 9th International Conference on Machine Learning and Data Mining in Pattern Recognition
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Produktdetaljer
ISBN
9783642397110
Publisert
2013-07-09
Utgiver
Vendor
Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Høyde
235 mm
Bredde
155 mm
Aldersnivå
Research, P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet
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