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Band 1451

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

Aus der Reihe Communications in Computer and Information Science

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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, 545 p. 266 illus., 159 illus. in color.
Herausgeber Jianchao Zeng + weitere

Produktdetails

Einband

Taschenbuch
Erscheinungsdatum

11.09.2021
Abbildungen

XXII, 545 p. 266 illus., 159 illus. in color.
Herausgeber
Verlag Springer Singapore
Seitenzahl

545
Maße (L/B/H)

23,5/15,5/3,1 cm
Gewicht

855 g
Auflage

1st ed. 2021
Sprache

Englisch
ISBN

978-981-16-5939-3
Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Data Science
  • Produktbild: Data Science
  • 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.