Data Stream Mining & Processing [electronic resource] : Third International Conference, DSMP 2020, Lviv, Ukraine, August 21–25, 2020, Proceedings /

Contributor(s):

Material type: Text

TextSeries: Communications in Computer and Information Science ; 1158Publisher: Cham : Springer International Publishing : Imprint: Springer, 2020Edition: 1st ed. 2020Description: XIV, 560 p. 95 illus. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783030616564

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:

Hybrid Systems of Computational Intelligence -- Machine Vision and Pattern Recognition -- Dynamic Data Mining & Data Stream Mining -- Big Data & Data Science Using Intelligent Approaches.

In: Springer Nature eBookSummary: This book constitutes the proceedings of the third International Conference on Data Stream and Mining and Processing, DSMP 2020, held in Lviv, Ukraine*, in August 2020. The 36 full papers presented in this volume were carefully reviewed and selected from 134 submissions. The papers are organized in topical sections of hybrid systems of computational intelligence; machine vision and pattern recognition; dynamic data mining & data stream mining; big data & data science using intelligent approaches. *The conference was held virtually due to the COVID-19 pandemic.

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Hybrid Systems of Computational Intelligence -- Machine Vision and Pattern Recognition -- Dynamic Data Mining & Data Stream Mining -- Big Data & Data Science Using Intelligent Approaches.

This book constitutes the proceedings of the third International Conference on Data Stream and Mining and Processing, DSMP 2020, held in Lviv, Ukraine*, in August 2020. The 36 full papers presented in this volume were carefully reviewed and selected from 134 submissions. The papers are organized in topical sections of hybrid systems of computational intelligence; machine vision and pattern recognition; dynamic data mining & data stream mining; big data & data science using intelligent approaches. *The conference was held virtually due to the COVID-19 pandemic.

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