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Soft Computing in Data Science [electronic resource] : 7th International Conference, SCDS 2023, Virtual Event, January 24–25, 2023, Proceedings /

Contributor(s): Material type: TextTextSeries: Communications in Computer and Information Science ; 1771Publisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2023Edition: 1st ed. 2023Description: XV, 304 p. 96 illus., 74 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9789819904051
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:
Contents:
Artificial Intelligence Techniques and Applications -- Computing and Optimization -- Data Analytics and Technologies -- Data Mining and Image Processing -- Mathematical and Statistical Learning.
In: Springer Nature eBookSummary: 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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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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