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

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Material type: Text

TextSeries: Lecture Notes in Artificial Intelligence ; 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

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Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:

006.312 23

LOC classification:

QA76.9.D343

Online resources:

Click here to access online

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.

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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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