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Machine Learning And Data Mining In Pattern Recognition 13th International Conference Mldm 2017 New York Ny Usa July 1520 2017 Proceedings Perner

  • SKU: BELL-6753000
Machine Learning And Data Mining In Pattern Recognition 13th International Conference Mldm 2017 New York Ny Usa July 1520 2017 Proceedings Perner
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Machine Learning And Data Mining In Pattern Recognition 13th International Conference Mldm 2017 New York Ny Usa July 1520 2017 Proceedings Perner instant download after payment.

Publisher: Springer
File Extension: PDF
File size: 42.84 MB
Pages: 452
Author: Perner, Petra
ISBN: 9781471631764, 9783319624150, 9783319624167, 1471631761, 3319624156, 3319624164
Language: English
Year: 2017

Product desciption

Machine Learning And Data Mining In Pattern Recognition 13th International Conference Mldm 2017 New York Ny Usa July 1520 2017 Proceedings Perner by Perner, Petra 9781471631764, 9783319624150, 9783319624167, 1471631761, 3319624156, 3319624164 instant download after payment.

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.
Abstract: 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

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