Description
Machine Learning and Data Mining in Pattern Recognition, 1st ed. 2016
12th International Conference, MLDM 2016, New York, NY, USA, July 16-21, 2016, Proceedings
Lecture Notes in Artificial Intelligence Series
Coordinator: Perner Petra
Language: English
Subject for Machine Learning and Data Mining in Pattern Recognition:
Keywords
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; information retrieval; sequential pattern mining; similarity measures; spatial data mining; SVM
Support: Print on demand
Description
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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
