HERMES-Catalog

Computational Management : Applications of Computational Intelligence in Business Management / edited by Srikanta Patnaik, Kayhan Tajeddini, Vipul Jain
(Modeling and Optimization in Science and Technologies. ISSN:21967334 ; 18)

Publisher	(Cham : Springer International Publishing : Imprint: Springer)
Year	2021
Edition	1st ed. 2021.
Authors	Patnaik, Srikanta editor Tajeddini, Kayhan editor Jain, Vipul editor SpringerLink (Online service)

Links to the text	Location	Volume	Call No.	Barcode No.	Status	Comments	ISBN	Printed	Restriction	Reserve
Links to the text	Library Off-campus access			OB00162362		Springer Business and Management eBooks (電子ブック)	9783030729295

Material Type	E-Book
Media type	機械可読データファイル
Size	XVIII, 682 p. 168 illus., 114 illus. in color : online resource
Notes	Computational Management: An Overview -- Mathematical and computational approaches for stochastic control of river environment and ecology: from fisheries viewpoint -- Models and Tools of Knowledge Acquisition -- Profits Lie in the Eyes of the Beholder: Entropy-based Volatility Indicators and Portfolio Rotation Strategies -- Asymmetric spill overs between risk and return series: case of CESEE markets -- Millennial Customers and Hangout Joints: An Empirical Study Using the Kano Quantitative Model -- The Effects of Oil Shocks on Macroeconomic Uncertainty: Evidence from a Large Panel Dataset of US States This book offers a timely review of cutting-edge applications of computational intelligence to business management and financial analysis. It covers a wide range of intelligent and optimization techniques, reporting in detail on their application to real-world problems relating to portfolio management and demand forecasting, decision making, knowledge acquisition, and supply chain scheduling and management HTTP:URL=https://doi.org/10.1007/978-3-030-72929-5
Subjects	LCSH:Computational intelligence LCSH:Business—Data processing LCSH:Mathematical optimization FREE:Computational Intelligence FREE:Business Informatics FREE:Optimization
Classification	LCC:Q342 DC23:006.3
ID	8000076135
ISBN	9783030729295