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Machine Learning and Data Mining in Pattern Recognition Petra Perner

Machine Learning and Data Mining in Pattern Recognition By Petra Perner

Machine Learning and Data Mining in Pattern Recognition by Petra Perner


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Summary

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.

Machine Learning and Data Mining in Pattern Recognition Summary

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

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.

Table of Contents

Classification.- Clustering.- Association rule.- Pattern mining.- Image mining.-Text mining.- Video mining.- Web mining.

Additional information

NLS9783319419190
9783319419190
3319419196
Machine Learning and Data Mining in Pattern Recognition: 12th International Conference, MLDM 2016, New York, NY, USA, July 16-21, 2016, Proceedings by Petra Perner
New
Paperback
Springer International Publishing AG
2016-06-28
807
N/A
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