Description
Machine Learning and Data Mining in Pattern Recognition, 1st ed. 2017
13th International Conference, MLDM 2017, New York, NY, USA, July 15-20, 2017, 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
Publication date: 07-2017
Support: Print on demand
Support: Print on demand
Description
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This book constitutes the refereed proceedings of the 13th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2017, held in New York, NY, USA in July/August 2017.
The 31 full papers presented in this book were carefully reviewed and selected from 150 submissions. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multi-media data types such as image mining, text mining, video mining, and Web mining.
Classification.- Clustering.- Association rule.- Pattern mining.- Specific data mining methods.- Different multi-media data types.- Image mining.- Text mining.- Video mining.- Web mining.
Includes supplementary material: sn.pub/extras
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