Perner Machine Learning and Data Mining in Pattern Recognition

Machine Learning and Data Mining in Pattern Recognition

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11th International Conference, MLDM 2015, Hamburg, Germany, July 20-21, 2015, Proceedings

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Beschreibung

This book constitutes the refereed proceedings of the 11th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2015, held in Hamburg, Germany, in July 2015.

The 41 full papers presented were carefully reviewed and selected from 123 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.


This book constitutes the refereed proceedings of the 11th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2015, held in Hamburg, Germany in July 2015. The 41 full papers presented were carefully reviewed and selected from 123 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.
Up-to-date results Fast track conference proceedings State-of-the-art report Includes supplementary material: sn.pub/extras

Autor*in

Petra Perner

Themen in »Machine Learning and Data Mining in Pattern Recognition«

Association rule mining Bayesian network Biclustering Big data Bioinformatics Data cloud geometry Data mining Ensemble method Genetic algorithms Image mining Knowledge discovery in databases Machine learning Ontology Recommendation Robust statistics

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Details

ISBN: 9783319210230
Verlag: Springer International Publishing
Erscheinung: 13.07.2015

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