Machine Learning and Data Mining in Pattern Recognition
12th International Conference, MLDM 2016, New York, NY, USA, July 16-21, 2016, Proceedings
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Beschreibung
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.
Includes supplementary material: sn.pub/extras
Autor*in
Petra Perner
Themen in »Machine Learning and Data Mining in Pattern Recognition«
data mining machine learning natural language processing social network analysis topic modeling anomaly detection association rule bayesian network big data case-based reasoning cellular networks clustering ensemble methods feature extraction fuzzy logic