Soft computing in data science : 7th International Conference, SCDS 2023, virtual event, January 24-25, 2023, proceedings / Marina Yusoff, Tao Hai, Murizah Kassim, Azlinah Mohamed, Eisuke Kita, editors.
SCDS (Conference) (7th : 2023 : Online); Marina Yusoff, editor.; Hai, Tao, editor.; Kassim, Murizah, editor.; Mohamed, Azlinah Hj., editor.; Kita, Eisuke, editor.
2023
QA76.9.S63
Available Online

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Title Soft computing in data science : 7th International Conference, SCDS 2023, virtual event, January 24-25, 2023, proceedings / Marina Yusoff, Tao Hai, Murizah Kassim, Azlinah Mohamed, Eisuke Kita, editors.
Meeting Name SCDS (Conference) (7th : 2023 : Online)
ISBN 9789819904051 (electronic bk.)
9819904056 (electronic bk.)
9789819904044
9819904048
DOI https://doi.org/10.1007/978-981-99-0405-1
Published Singapore : Springer, 2023.
Language English
Description 1 online resource (295 pages)
Other Standard Identifiers 10.1007/978-981-99-0405-1 doi
Call Number QA76.9.S63
Dewey Decimal Classification 006.3
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.
Note Includes index.
Access Note Access limited to authorized users.
Source of Description Description based on print version record.
Added Author Marina Yusoff, editor.
Hai, Tao, editor.
Kassim, Murizah, editor.
Mohamed, Azlinah Hj., editor.
Kita, Eisuke, editor.
Series Communications in computer and information science ; 1771.
Available in Other Form Soft computing in data science.
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
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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.

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