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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: TextTextSeries: Lecture Notes in Artificial Intelligence ; 10357 | Lecture Notes in Computer Science ; 10357Publisher: 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): Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 006.312 23
LOC classification:
  • QA76.9.D343
Online resources:
Contents:
Theoretical aspects of data mining -- Applications of data mining -- Multimedia data, in marketing, in medicine -- Process control in industry and society.
In: Springer Nature eBookSummary: 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.
Item type: E-BOOKS
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IMSc Library Link to resource Available EBK15289

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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The Institute of Mathematical Sciences, Chennai, India