Soft Computing in Data Science Third International Conference, SCDS 2017, Yogyakarta, Indonesia, November 27–28, 2017, Proceedings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Mohamed, Azlinah (Επιμελητής έκδοσης), Berry, Michael W. (Επιμελητής έκδοσης), Yap, Bee Wah (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2017.
• Σειρά: Communications in Computer and Information Science, 788
• Θέματα: Computer science.; Algorithms.; Data mining.; Artificial intelligence.; Computer graphics.; Computer Science.; Artificial Intelligence (incl. Robotics).; Data Mining and Knowledge Discovery.; Computer Imaging, Vision, Pattern Recognition and Graphics.; Big Data.; Algorithm Analysis and Problem Complexity.
• Φυσική περιγραφή: XV, 317 p. 123 illus. online resource.
• ISBN: 9789811072420
• ISSN: 1865-0929 ;

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.