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Machine Learning and Data Mining in Pattern Recognition [electronic resource] : 12th International Conference, MLDM 2016, New York, NY, USA, July 16-21, 2016, Proceedings / edited by Petra Perner.

Contributor(s): Perner, Petra [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Computer Science: 9729Publisher: Cham : Springer International Publishing : Imprint: Springer, 2016Description: XIII, 807 p. 291 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319419206.Subject(s): Computer science | Algorithms | Database management | Data mining | Artificial intelligence | Pattern recognition | Computer Science | Artificial Intelligence (incl. Robotics) | Data Mining and Knowledge Discovery | Pattern Recognition | Algorithm Analysis and Problem Complexity | Information Systems Applications (incl. Internet) | Database ManagementAdditional physical formats: Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online
Contents:
Classification -- Clustering -- Association rule -- Pattern mining -- Image mining.-Text mining -- Video mining -- Web mining.
In: Springer eBooksSummary: 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.
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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.

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