Soft Computing in Data Science [electronic resource] : 5th International Conference, SCDS 2019, Iizuka, Japan, August 28–29, 2019, Proceedings /

Contributor(s):

Material type: Text

TextSeries: Communications in Computer and Information Science ; 1100Publisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2019Edition: 1st ed. 2019Description: XVI, 388 p. 257 illus., 162 illus. in color. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9789811503993

Subject(s):

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

006.3 23

LOC classification:

Q334-342
TA347.A78

Online resources:

Click here to access online

Contents:

Information and Customer Analytics -- Visual Data Science -- Machine and Deep Learning -- Big Data Analytics -- Computational and Artificial Intelligence -- Social Network and Media Analytics.

In: Springer Nature eBookSummary: This book constitutes the refereed proceedings of the 5th International Conference on Soft Computing in Data Science, SCDS 2019, held in Iizuka, Japan, in August 2019. The 30 revised full papers presented were carefully reviewed and selected from 75 submissions. The papers are organized in topical sections on information and customer analytics; visual data science; machine and deep learning; big data analytics; computational and artificial intelligence; social network and media analytics.

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Information and Customer Analytics -- Visual Data Science -- Machine and Deep Learning -- Big Data Analytics -- Computational and Artificial Intelligence -- Social Network and Media Analytics.

This book constitutes the refereed proceedings of the 5th International Conference on Soft Computing in Data Science, SCDS 2019, held in Iizuka, Japan, in August 2019. The 30 revised full papers presented were carefully reviewed and selected from 75 submissions. The papers are organized in topical sections on information and customer analytics; visual data science; machine and deep learning; big data analytics; computational and artificial intelligence; social network and media analytics.

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