Perner Advances in Data Mining. Applications and Theoretical Aspects

Advances in Data Mining. Applications and Theoretical Aspects

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17th Industrial Conference, ICDM 2017, New York, NY, USA, July 12-13, 2017, Proceedings

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Beschreibung

This book constitutes the refereed proceedings of the 17th Industrial Conference on Advances in Data Mining, ICDM 2017, held in New York, NY, USA, in July 2017.

The 27 revised full papers presented were carefully reviewed and selected from 71 submissions. The topics range from theoretical aspects of data mining to applications of data mining, such as in multimedia data, in marketing, in medicine, and in process control in industry and society.


Includes supplementary material: sn.pub/extras

Autor*in

Petra Perner

Themen in »Advances in Data Mining. Applications and Theoretical Aspects«

big data business process modeling cloud computing machine learning social media bioinformatics classification cloud security clustering data mining fault detection feature selection fuzzy rules logic programming naive bayes

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Details

ISBN: 9783319627007
Verlag: Springer International Publishing
Erscheinung: 04.07.2017

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