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Integrated Uncertainty in Knowledge Modelling and Decision Making 7th International Symposium, IUKM 2019, Nara, Japan, March 27–29, 2019, Proceedings / [electronic resource] : edited by Hirosato Seki, Canh Hao Nguyen, Van-Nam Huynh, Masahiro Inuiguchi. - 1st ed. 2019. - XX, 444 p. 160 illus., 84 illus. in color. online resource. - Lecture Notes in Artificial Intelligence, 11471 2945-9141 ; . - Lecture Notes in Artificial Intelligence, 11471 .

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.

ISBN: 9783030148157

Standard No.: 10.1007/978-3-030-14815-7 doi

Subjects--Topical Terms:
Artificial intelligence.
Machine theory.
Algorithms.
Data mining.
Computer science--Mathematics.
Numerical analysis.
Artificial Intelligence.
Formal Languages and Automata Theory.
Algorithms.
Data Mining and Knowledge Discovery.
Mathematical Applications in Computer Science.
Numerical Analysis.

LC Class. No.: Q334-342 TA347.A78

Dewey Class. No.: 006.3