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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): Material type: TextSeries: Publisher: Cham : Springer International Publishing : Imprint: Springer, 2016Edition: 1st ed. 2016Description: XIII, 807 p. 291 illus. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783319419206
Subject(s): DDC classification:
  • 006.3 23
Online resources:
Contents:
Classification -- Clustering -- Association rule -- Pattern mining -- Image mining.-Text mining -- Video mining -- Web mining.
Summary: 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.

Licensed e-book