Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11471)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Included in the following conference series:
Conference proceedings info: IUKM 2019.
Access this book
Tax calculation will be finalised at checkout
Other ways to access
About this book
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.
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.
Similar content being viewed by others
Keywords
- artificial intelligence
- big data
- classification
- computer vision
- data mining
- fuzzy logic
- fuzzy sets
- fuzzy systems
- genetic algorithms
- numerical experiments
- numerical methods
- rough set theory
- rule induction
- semantics
- support vector
- Support Vector Machines (SVM)
- algorithm analysis and problem complexity
Table of contents (36 papers)
-
Front Matter
-
Uncertainty Management and Decision Support
-
Front Matter
-
-
Econometrics
-
Front Matter
-
Other volumes
-
Integrated Uncertainty in Knowledge Modelling and Decision Making
Editors and Affiliations
Bibliographic Information
Book Title: Integrated Uncertainty in Knowledge Modelling and Decision Making
Book Subtitle: 7th International Symposium, IUKM 2019, Nara, Japan, March 27–29, 2019, Proceedings
Editors: Hirosato Seki, Canh Hao Nguyen, Van-Nam Huynh, Masahiro Inuiguchi
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-14815-7
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Softcover ISBN: 978-3-030-14814-0Published: 07 March 2019
eBook ISBN: 978-3-030-14815-7Published: 18 March 2019
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XX, 444
Number of Illustrations: 76 b/w illustrations, 84 illustrations in colour
Topics: Artificial Intelligence, Mathematical Logic and Formal Languages, Algorithm Analysis and Problem Complexity, Data Mining and Knowledge Discovery, Math Applications in Computer Science, Numeric Computing