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Soft Computing in Data Science [electronic resource] : 7th International Conference, SCDS 2023, Virtual Event, January 24-25, 2023, Proceedings / edited by Marina Yusoff, Tao Hai, Murizah Kassim, Azlinah Mohamed, Eisuke Kita.

Contributor(s): Material type: TextTextLanguage: English Series: Publication details: Singapore : Springer Nature Singapore : Imprint: Springer, 2023.Edition: 1st ed. 2023Description: XV, 304 p. 96 illus., 74 illus. in color. online resourceISBN:
  • 9789819904051
Subject(s): DDC classification:
  • 006.3 23
Online resources:
Contents:
Artificial Intelligence Techniques and Applications -- Computing and Optimization -- Data Analytics and Technologies -- Data Mining and Image Processing -- Mathematical and Statistical Learning.
Summary: This book constitutes the refereed proceedings of the 7th International Conference on Soft Computing in Data Science, SCDS 2023, which was held virtually in January 2023. The 21 revised full papers presented were carefully reviewed and selected from 61 submissions. The papers are organized in topical sections on artificial intelligence techniques and applications; computing and optimization; data analytics and technologies; data mining and image processing; mathematical and statistical learning.
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Item type Current library Call number Materials specified Status Date due Barcode Item holds
E-Books E-Books National Library of India Online Resource 006.3 (Browse shelf(Opens below)) Available EBK000043862ENG
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Artificial Intelligence Techniques and Applications -- Computing and Optimization -- Data Analytics and Technologies -- Data Mining and Image Processing -- Mathematical and Statistical Learning.

This book constitutes the refereed proceedings of the 7th International Conference on Soft Computing in Data Science, SCDS 2023, which was held virtually in January 2023. The 21 revised full papers presented were carefully reviewed and selected from 61 submissions. The papers are organized in topical sections on artificial intelligence techniques and applications; computing and optimization; data analytics and technologies; data mining and image processing; mathematical and statistical learning.

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