Data Science [electronic resource] : 5th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2019, Guilin, China, September 20–23, 2019, Proceedings, Part II /

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Material type: Text

TextSeries: Communications in Computer and Information Science ; 1059Publisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2019Edition: 1st ed. 2019Description: XXV, 683 p. 367 illus., 243 illus. in color. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9789811501210

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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:

Bioinformatics -- Natural Language Processing -- Software Engineering -- Graphic Images.-System -- Education -- Application.

In: Springer Nature eBookSummary: This two volume set (CCIS 1058 and 1059) constitutes the refereed proceedings of the 5th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2019 held in Guilin, China, in September 2019. The 104 revised full papers presented in these two volumes were carefully reviewed and selected from 395 submissions. The papers cover a wide range of topics related to basic theory and techniques for data science including data mining; data base; net work; security; machine learning; bioinformatics; natural language processing; software engineering; graphic images; system; education; application.

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Bioinformatics -- Natural Language Processing -- Software Engineering -- Graphic Images.-System -- Education -- Application.

This two volume set (CCIS 1058 and 1059) constitutes the refereed proceedings of the 5th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2019 held in Guilin, China, in September 2019. The 104 revised full papers presented in these two volumes were carefully reviewed and selected from 395 submissions. The papers cover a wide range of topics related to basic theory and techniques for data science including data mining; data base; net work; security; machine learning; bioinformatics; natural language processing; software engineering; graphic images; system; education; application.

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