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

• Pubblicazione: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
• Edizione: 1st ed. 2023.
• Descrizione fisica: 1 online resource (313 pages)
• Disciplina: 006.3
• Soggetto topico: 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; Informàtica tova
• Soggetto genere / forma: Congressos; Llibres electrònics
• Persona (resp. second.): Marina Yusoff
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Artificial Intelligence Techniques and Applications -- Computing and Optimization -- Data Analytics and Technologies -- Data Mining and Image Processing -- Mathematical and Statistical Learning.
• Sommario/riassunto: 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.
• Titolo autorizzato: Soft Computing in Data Science
• ISBN: 9789819904051; 9819904056
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910682551303321
• Lo trovi qui: Univ. Federico II
• Serie: Communications in Computer and Information Science, . 1865-0937 ; ; 1771