Machine Learning and Data Mining in Pattern Recognition : 8th International C...

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Format: Trade Paperback Publisher: Springer Berlin / Heidelberg width: 6.1 in Publication Year: 2012 Language: English Type: Textbook Number of Pages: Xiii, 680 Pages Book Title: Machine Learning and Data Mining in Pattern Recognition : 8th Int ISBN: 9783642315367 Author: Petra Perner Item Weight: 36.4 Oz Subject: Image Processing, Intelligence (Ai) & Semantics, Computer Science, Cognitive Psychology & Cognition, Databases / Data Mining, Databases / General Series: Lecture Notes in Computer Science Ser. Item Length: 9.3 in Item Width: 6.1 in Publication Name: Machine Learning and Data Mining in Pattern Recognition : 8th International Conference, MLDM 2012, Berlin, Germany, July 13-20, 2012, Proceedings Subject Area: Computers, Psychology

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Machine Learning and Data Mining in Pattern Recognition : 8th International C.... Machine Learning and Data Mining in Pattern Recognition : 8th International Conference, Mldm 2012, Berlin, Germany, July 13-20, 2012, Proceedings, Paperback by Perner, Petra (EDT), ISBN 3642315364, ISBN-13 9783642315367, Brand New, Free shipping in the US This book constitutes the refereed proceedings of the 8th International Conference, MLDM 2012, held in Berlin, Germany in July 2012. The 51 revised full papers presented were carefully reviewed and selected from 212 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. Machine Learning and Data Mining in Pattern Recognition : 8th International Conference, Mldm 2012, Berlin, Germany, July 13-20, 2012, Proceedings, Paperback by Perner, Petra (EDT), ISBN 3642315364, ISBN-13 9783642315367, Brand New, Free shipping in the US This book constitutes the refereed proceedings of the 8th International Conference, MLDM 2012, held in Berlin, Germany in July 2012. The 51 revised full papers presented were carefully reviewed and selected from 212 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.