Soft Computing in Data Science [[electronic resource] ] : Third International Conference, SCDS 2017, Yogyakarta, Indonesia, November 27–28, 2017, Proceedings / / edited by Azlinah Mohamed, Michael W. Berry, Bee Wah Yap

• Pubblicazione: Singapore : , : Springer Singapore : , : Imprint : Springer, , 2017
• Edizione: 1st ed. 2017.
• Descrizione fisica: 1 online resource (XV, 317 p. 123 illus.)
• Disciplina: 004
• Soggetto topico: Artificial intelligence; Data mining; Optical data processing; Big data; Algorithms; Artificial Intelligence; Data Mining and Knowledge Discovery; Computer Imaging, Vision, Pattern Recognition and Graphics; Big Data; Algorithm Analysis and Problem Complexity
• Persona (resp. second.): MohamedAzlinah; BerryMichael W; YapBee Wah
• Nota di contenuto: Deep learning and real-time classification -- Image feature classification and extraction -- Classification, clustering, visualization -- Applications of machine learning -- Data visualization -- Fuzzy logic -- Prediction models and e-learning -- Text and sentiment analytics.
• Sommario/riassunto: This book constitutes the refereed proceedings of the International Conference on Soft Computing in Data Science, SCDS 2017, held in Yogyakarta, Indonesia, November 27-28, 2017. The 26 revised full papers presented were carefully reviewed and selected from 68 submissions. The papers are organized in topical sections on deep learning and real-time classification; image feature classification and extraction; classification, clustering, visualization; applications of machine learning; data visualization; fuzzy logic; prediction models and e-learning; text and sentiment analytics.
• Titolo autorizzato: Soft Computing in Data Science
• ISBN: 981-10-7242-6
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910254830703321
• Lo trovi qui: Univ. Federico II
• Serie: Communications in Computer and Information Science, . 1865-0929 ; ; 788