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Band 1452

Data Science 7th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2021, Taiyuan, China, September 17–20, 2021, Proceedings, Part II

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Beschreibung

This two volume set (CCIS 1451 and 1452) constitutes the refereed proceedings of the 7th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2021 held in Taiyuan, China, in September 2021.

The 81 papers presented in these two volumes were carefully reviewed and...

Beschreibung

This two volume set (CCIS 1451 and 1452) constitutes the refereed proceedings of the 7th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2021 held in Taiyuan, China, in September 2021.

The 81 papers presented in these two volumes were carefully reviewed and selected from 256 submissions. The papers are organized in topical sections on big data management and applications; social media and recommendation systems; infrastructure for data science; basic theory and techniques for data science; machine learning for data science; multimedia data management and analysis; social media and recommendation systems; data security and privacy; applications of data science; education research, methods and materials for data science and engineering; research demo.

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

11.09.2021

Abbildungen

XXII, 517 p. 74 illus., 1 illus. in color.

Herausgeber Jianchao Zeng + weitere

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

11.09.2021

Abbildungen

XXII, 517 p. 74 illus., 1 illus. in color.

Herausgeber
Verlag Springer Singapore
Seitenzahl

517

Maße (L/B/H)

23.5/15.5/2.9 cm

Gewicht

809 g

Auflage

1st ed. 2021

Sprache

Englisch

ISBN

978-981-16-5942-3

Herstelleradresse

Springer-Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

Email: ProductSafety@springernature.com

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  • Produktbild: Data Science
  • Produktbild: Data Science
  • Social Media and Recommendation Systems.- Data Security and Privacy.- Applications of Data Science.- Education research, methods and materials for data science and engineering.- Research demo.