Intelligent Data Engineering and Automated Learning - IDEAL 2019 20th International Conference, Manchester, UK, November 14-16, 2019, Proceedings, Part II /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Yin, Hujun (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Camacho, David (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Tino, Peter (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Tallón-Ballesteros, Antonio J. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Menezes, Ronaldo (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Allmendinger, Richard (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Information Systems and Applications, incl. Internet/Web, and HCI ; 11872
• Θέματα: Data mining.; Education-Data processing.; Computers.; Application software.; Computer organization.; Artificial intelligence.; Data Mining and Knowledge Discovery.; Computers and Education.; Theory of Computation.; Computer Applications.; Computer Systems Organization and Communication Networks.; Artificial Intelligence.
• Φυσική περιγραφή: XXI, 364 p. 115 illus., 86 illus. in color. online resource.
• ISBN: 9783030336172
• DOI: 10.1007/978-3-030-33617-2

This two-volume set of LNCS 11871 and 11872 constitutes the thoroughly refereed conference proceedings of the 20th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2019, held in Manchester, UK, in November 2019. The 94 full papers presented were carefully reviewed and selected from 149 submissions. These papers provided a timely sample of the latest advances in data engineering and machine learning, from methodologies, frameworks, and algorithms to applications. The core themes of IDEAL 2019 include big data challenges, machine learning, data mining, information retrieval and management, bio-/neuro-informatics, bio-inspired models (including neural networks, evolutionary computation and swarm intelligence), agents and hybrid intelligent systems, real-world applications of intelligent techniques and AI.