Advances in Data Mining. Applications and Theoretical Aspects [electronic resource] : 18th Industrial Conference, ICDM 2018, New York, NY, USA, July 11-12, 2018, Proceedings /

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Material type: Text

TextSeries: Lecture Notes in Artificial Intelligence ; 10933Publisher: Cham : Springer International Publishing : Imprint: Springer, 2018Edition: 1st ed. 2018Description: X, 326 p. 130 illus. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783319957869

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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:

Multimedia data -- Marketing -- Medicine -- Agriculture -- Process control -- Industry -- Society.

In: Springer Nature eBookSummary: This volume constitutes the proceedings of the 18th Industrial Conference on Adances in Data Mining, ICDM 2018, held in New York, NY, USA, in July 2018. The 24 regular papers presented in this book were carefully reviewed and selected from 146 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 agriculture, and in process control, industry, and society.

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Multimedia data -- Marketing -- Medicine -- Agriculture -- Process control -- Industry -- Society.

This volume constitutes the proceedings of the 18th Industrial Conference on Adances in Data Mining, ICDM 2018, held in New York, NY, USA, in July 2018. The 24 regular papers presented in this book were carefully reviewed and selected from 146 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 agriculture, and in process control, industry, and society.

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