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Computational managementapplications...
~
Jain, Vipul.
Computational managementapplications of computational intelligence in business management /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Computational managementedited by Srikanta Patnaik, Kayhan Tajeddini, Vipul Jain.
Reminder of title:
applications of computational intelligence in business management /
other author:
Patnaik, Srikanta.
Published:
Cham :Springer International Publishing :2021.
Description:
xvii, 682 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
Subject:
Computational intelligence.
Online resource:
https://doi.org/10.1007/978-3-030-72929-5
ISBN:
9783030729295$q(electronic bk.)
Computational managementapplications of computational intelligence in business management /
Computational management
applications of computational intelligence in business management /[electronic resource] :edited by Srikanta Patnaik, Kayhan Tajeddini, Vipul Jain. - Cham :Springer International Publishing :2021. - xvii, 682 p. :ill., digital ;24 cm. - Modeling and optimization in science and technologies,v.182196-7326 ;. - Modeling and optimization in science and technologies ;v.2..
Computational Management: An Overview -- Mathematical and computational approaches for stochastic control of river environment and ecology: from fisheries viewpoint -- Models and Tools of Knowledge Acquisition -- Profits Lie in the Eyes of the Beholder: Entropy-based Volatility Indicators and Portfolio Rotation Strategies -- Asymmetric spill overs between risk and return series: case of CESEE markets -- Millennial Customers and Hangout Joints: An Empirical Study Using the Kano Quantitative Model -- The Effects of Oil Shocks on Macroeconomic Uncertainty: Evidence from a Large Panel Dataset of US States.
This book offers a timely review of cutting-edge applications of computational intelligence to business management and financial analysis. It covers a wide range of intelligent and optimization techniques, reporting in detail on their application to real-world problems relating to portfolio management and demand forecasting, decision making, knowledge acquisition, and supply chain scheduling and management.
ISBN: 9783030729295$q(electronic bk.)
Standard No.: 10.1007/978-3-030-72929-5doiSubjects--Topical Terms:
210824
Computational intelligence.
LC Class. No.: Q342 / .C65 2021
Dewey Class. No.: 006.3
Computational managementapplications of computational intelligence in business management /
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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.
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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.
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Business and Management (SpringerNature-41169)
based on 0 review(s)
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000000197042
電子館藏
1圖書
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EB Q342 .C738 2021 2021
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1 records • Pages 1 •
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https://doi.org/10.1007/978-3-030-72929-5
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