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001			239469
003			ES-VaUE
005			20240306114329.0
007			cr nn 008mamaa
008			210529s2021 sz | o |||| 0|eng d
020			_a9783030729295
024	7		_a10.1007/978-3-030-72929-5 _2doi
040			_aES-VaU _bspa _cES-VaU _dES-VaU
050		4	_aQ342 _b2021 EB
245	0	0	_aComputational Management : _bApplications of Computational Intelligence in Business Management _cedited by Srikanta Patnaik, Kayhan Tajeddini, Vipul Jain
250			_a1st ed. 2021.
264		1	_aCham _c2021 _bSpringer International Publishing
300			_a1 recurso en línea
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
490	0		_aModeling and Optimization in Science and Technologies _x2196-7334 _v18
505	0		_aComputational 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.
520			_aThis 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.
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-72929-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Valencia)
942			_2lcc _cLE
988			_aSpringer_Business_2021
999			_c239469 _d239469