Integrated Uncertainty in Knowledge Modelling and Decision Making 7th International Symposium, IUKM 2019, Nara, Japan, March 27-29, 2019, Proceedings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Seki, Hirosato (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Nguyen, Canh Hao (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Huynh, Van-Nam (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Inuiguchi, Masahiro (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: Lecture Notes in Artificial Intelligence ; 11471
• Θέματα: Artificial intelligence.; Mathematical logic.; Algorithms.; Data mining.; Computer science-Mathematics.; Numerical analysis.; Artificial Intelligence.; Mathematical Logic and Formal Languages.; Algorithm Analysis and Problem Complexity.; Data Mining and Knowledge Discovery.; Math Applications in Computer Science.; Numeric Computing.
• Φυσική περιγραφή: XX, 444 p. 160 illus., 84 illus. in color. online resource.
• ISBN: 9783030148157
• DOI: 10.1007/978-3-030-14815-7

This book constitutes the refereed proceedings of the 7th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2019, held in Nara, Japan, in March 2019. The 37 revised full papers presented were carefully reviewed and selected from 93 submissions. The papers deal with all aspects of uncertainty modelling and management and are organized in topical sections on uncertainty management and decision support; econometrics; machine learning; machine learning applications; and statistical methods.