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Soft Computing in Data Science : 7th International Conference, SCDS 2023, Virtual Event, January 24-25, 2023, Proceedings / edited by Marina Yusoff, Tao Hai, Murizah Kassim, Azlinah Mohamed, Eisuke Kita.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Communications in computer and information science 1865-0937 ; 1771
- Communications in Computer and Information Science, 1865-0937 ; 1771
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Computer networks.
- Image processing-Digital techniques.
- Computer vision.
- Social sciences-Data processing.
- Computer engineering.
- Artificial Intelligence.
- Computer Communication Networks.
- Computer Imaging, Vision, Pattern Recognition and Graphics.
- Computer Application in Social and Behavioral Sciences.
- Computer Engineering and Networks.
- Local Subjects:
- Artificial Intelligence.
- Computer Communication Networks.
- Computer Imaging, Vision, Pattern Recognition and Graphics.
- Computer Application in Social and Behavioral Sciences.
- Computer Engineering and Networks.
- Physical Description:
- 1 online resource (XV, 304 pages) : 96 illustrations, 74 illustrations in color.
- Edition:
- 1st ed. 2023.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
- System Details:
- text file PDF
- 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.
- Contents:
- Artificial Intelligence Techniques and Applications
- Computing and Optimization
- Data Analytics and Technologies
- Data Mining and Image Processing
- Mathematical and Statistical Learning.
- Other Format:
- Printed edition:
- ISBN:
- 978-981-99-0405-1
- 9789819904051
- Access Restriction:
- Restricted for use by site license.
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