Data Analytics and Learning Proceedings of DAL 2018 /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Nagabhushan, P. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Guru, D. S. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Shekar, B. H. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Kumar, Y. H. Sharath (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Lecture Notes in Networks and Systems, 43
• Θέματα: Computational intelligence.; Data mining.; Signal processing.; Image processing.; Speech processing systems.; Big data.; Computational Intelligence.; Data Mining and Knowledge Discovery.; Signal, Image and Speech Processing.; Big Data.
• Φυσική περιγραφή: XVI, 454 p. 266 illus., 151 illus. in color. online resource.
• ISBN: 9789811325144
• ISSN: 2367-3370 ;
• DOI: 10.1007/978-981-13-2514-4

This book presents new theories and working models in the area of data analytics and learning. The papers included in this volume were presented at the first International Conference on Data Analytics and Learning (DAL 2018), which was hosted by the Department of Studies in Computer Science, University of Mysore, India on 30-31 March 2018. The areas covered include pattern recognition, image processing, deep learning, computer vision, data analytics, machine learning, artificial intelligence, and intelligent systems. As such, the book offers a valuable resource for researchers and practitioners alike.