Decision making - Data processing.
Overview
Works: | 52 works in 40 publications in 40 languages |
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Titles
Executive accountability :creating the environment for business value from technology /
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(Language materials, printed)
Executive accountabilitycreating the environment for business value from technology /
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(Electronic resources)
Agile business rule developmentprocess, architecture, and JRules examples /
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(Electronic resources)
Modeling for decision support in network-based servicesthe application of quantitative modeling to service science /
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(Electronic resources)
Decision making in complex systemsthe DeciMaS agent-based interdisciplinary framework approach /
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(Electronic resources)
Belief functionstheory and applications : proceedings of the 2nd International Conference on Belief Functions, Compiegne, France 9-11 May 2012 /
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Predictive analytics, data mining and big data :myths, misconceptions and methods /
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Better decision making in complex, dynamic taskstraining with human-facilitated interactive learning environments /
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Data quality and its impacts on decision-makinghow managers can benefit from good data /
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A short introduction to preferencesbetween artificial intelligence and social choice /
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Analytics in a big data worldthe essential guide to data science and its applications /
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Optimizing data-to-learning-to-actionthe modern approach to continuous performance improvement for businesses /
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Large group decision makingcreating decision support approaches at scale /
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Optimizing big data management and industrial systems with intelligent techniques
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The decision maker's handbook to data sciencea guide for non-technical executives, managers, and founders /
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Decision support for product developmentusing computational intelligence for information acquisition in enterprise databases /
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Beginning Azure Cognitive Servicesdata-driven decision making through artificial intelligence /
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Algorithmic decision making with Python resourcesfrom multicriteria performance records to decision algorithms via bipolar-valued outranking digraphs /
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(Electronic resources)
Beyond business analyticsthe foundations of behavioral perspective theory /
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(Electronic resources)
Machine learning for practical decision makinga multidisciplinary perspective with applications from healthcare, engineering and business analytics /
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Machine learning and data analytics for solving business problemsmethods, applications, and case studies /
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Artificial intelligence in control and decision-making systemsdedicated to Professor Janusz Kacprzyk /
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Practical business analytics using R and Pythonsolve business problems using a data-driven approach /
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Handbook on decision making.Volume 3,Trends and challenges in intelligent decision support systems
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Introduction to prescriptive AIa primer for decision intelligence solutioning with Python /
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AI-ML for decision and risk analysischallenges and opportunities for normative decision theory /
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