Machine Learning and Data Mining in Pattern Recognition 12th International Conference, MLDM 2016, New York, NY, USA, July 16-21, 2016, Proceedings /
Machine Learning and Data Mining in Pattern Recognition 12th International Conference, MLDM 2016, New York, NY, USA, July 16-21, 2016, Proceedings / [electronic resource] :
edited by Petra Perner.
- 1st ed. 2016.
- XIII, 807 p. 291 illus. online resource.
- Lecture Notes in Artificial Intelligence, 9729 2945-9141 ; .
- Lecture Notes in Artificial Intelligence, 9729 .
Classification -- Clustering -- Association rule -- Pattern mining -- Image mining.-Text mining -- Video mining -- Web mining.
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.
9783319419206
10.1007/978-3-319-41920-6 doi
Artificial intelligence.
Data mining.
Pattern recognition systems.
Algorithms.
Application software.
Database management.
Artificial Intelligence.
Data Mining and Knowledge Discovery.
Automated Pattern Recognition.
Algorithms.
Computer and Information Systems Applications.
Database Management.
Q334-342 TA347.A78
006.3
Classification -- Clustering -- Association rule -- Pattern mining -- Image mining.-Text mining -- Video mining -- Web mining.
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.
9783319419206
10.1007/978-3-319-41920-6 doi
Artificial intelligence.
Data mining.
Pattern recognition systems.
Algorithms.
Application software.
Database management.
Artificial Intelligence.
Data Mining and Knowledge Discovery.
Automated Pattern Recognition.
Algorithms.
Computer and Information Systems Applications.
Database Management.
Q334-342 TA347.A78
006.3