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TitleIntegrated Uncertainty in Knowledge Modelling and Decision Making [electronic resource] : 7th International Symposium, IUKM 2019, Nara, Japan, March 27–29, 2019, Proceedings / edited by Hirosato Seki, Canh Hao Nguyen, Van-Nam Huynh, Masahiro Inuiguchi
ImprintCham : Springer International Publishing : Imprint: Springer, 2019
Edition 1st ed. 2019
Connect tohttps://doi.org/10.1007/978-3-030-14815-7
Descript XX, 444 p. 160 illus., 84 illus. in color. online resource

SUMMARY

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


Artificial intelligence Computer science Computer software Data mining Electronic data processing Artificial Intelligence. http://scigraph.springernature.com/things/product-market-codes/I21000 Mathematical Logic and Formal Languages. http://scigraph.springernature.com/things/product-market-codes/I16048 Algorithm Analysis and Problem Complexity. http://scigraph.springernature.com/things/product-market-codes/I16021 Data Mining and Knowledge Discovery. http://scigraph.springernature.com/things/product-market-codes/I18030 Math Applications in Computer Science. http://scigraph.springernature.com/things/product-market-codes/I17044 Numeric Computing. http://scigraph.springernature.com/things/product-market-codes/I1701X



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