TY  - GEN
N2  - 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.
DO  - 10.1007/978-981-99-0405-1
DO  - doi
AB  - 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.
T1  - Soft computing in data science :7th International Conference, SCDS 2023, virtual event, January 24-25, 2023, proceedings /
AU  - Marina Yusoff,
AU  - Hai, Tao,
AU  - Kassim, Murizah,
AU  - Mohamed, Azlinah Hj.,
AU  - Kita, Eisuke,
VL  - 1771
CN  - QA76.9.S63
N1  - Includes index.
ID  - 1461738
KW  - Soft computing
SN  - 9789819904051
SN  - 9819904056
TI  - Soft computing in data science :7th International Conference, SCDS 2023, virtual event, January 24-25, 2023, proceedings /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-99-0405-1
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-99-0405-1
ER  -