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Advances in Data Mining. Applications and Theoretical Aspects [electronic resource] : 17th Industrial Conference, ICDM 2017, New York, NY, USA, July 12-13, 2017, Proceedings / edited by Petra Perner.

Contributor(s): Material type: TextSeries: Publisher: Cham : Springer International Publishing : Imprint: Springer, 2017Edition: 1st ed. 2017Description: XI, 346 p. 123 illus. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783319627014
Subject(s): DDC classification:
  • 006.312 23
Online resources:
Contents:
Theoretical aspects of data mining -- Applications of data mining -- Multimedia data, in marketing, in medicine -- Process control in industry and society.
Summary: 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.
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Theoretical aspects of data mining -- Applications of data mining -- Multimedia data, in marketing, in medicine -- Process control in industry and society.

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.

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