Decision making - Data processing.
Overview
| Works: | 61 works in 44 publications in 44 languages | |
|---|---|---|
Titles
Blissful data : = wisdom and strategies for providing meaningful, useful, and accessible data for all employees /
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(Language materials, printed)
Modeling for decision support in network-based services = the application of quantitative modeling to service science /
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(Electronic resources)
Customer and business analytics : = applied data mining for business decision making using R /
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(Language materials, printed)
Machine learning and data analytics for solving business problems = methods, applications, and case studies /
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(Electronic resources)
Handbook on decision making.. Volume 3,. Trends and challenges in intelligent decision support systems
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(Electronic resources)
Graded logic = modeling human commonsense reasoning in decision-making and AI /
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(Electronic resources)
Agile business rule development = process, architecture, and JRules examples /
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(Electronic resources)
Transforming teaching and learning through data-driven decision making /
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(Language materials, printed)
Belief functions = theory and applications : proceedings of the 2nd International Conference on Belief Functions, Compiegne, France 9-11 May 2012 /
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(Electronic resources)
Better decision making in complex, dynamic tasks = training with human-facilitated interactive learning environments /
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Data quality and its impacts on decision-making = how managers can benefit from good data /
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(Electronic resources)
A short introduction to preferences = between artificial intelligence and social choice /
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(Electronic resources)
Strategic decisions and weak signals = anticipation for decision-making /
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(Electronic resources)
Algorithmic decision making with Python resources = from multicriteria performance records to decision algorithms via bipolar-valued outranking digraphs /
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The decision maker's handbook to data science = AI and data science for non-technical executives, managers, and founders /
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Computational intelligence applied to decision-making in uncertain environments
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Big data and artificial intelligence for decision-making in the smart economy
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(Electronic resources)
Python for business analytics = unlocking data insights for strategic decision-making /
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(Electronic resources)
Beginning Azure Cognitive Services = data-driven decision making through artificial intelligence /
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Artificial intelligence in prescriptive analytics = innovations in decision analysis, intelligent optimization, and data-driven decisions /
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Executive accountability = creating the environment for business value from technology /
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(Language materials, printed)
Decision making in complex systems = the DeciMaS agent-based interdisciplinary framework approach /
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Predictive analytics, data mining and big data : = myths, misconceptions and methods /
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Analytics in a big data world = the essential guide to data science and its applications /
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Optimizing data-to-learning-to-action = the modern approach to continuous performance improvement for businesses /
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(Electronic resources)
Optimizing big data management and industrial systems with intelligent techniques
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(Electronic resources)
The decision maker's handbook to data science = a guide for non-technical executives, managers, and founders /
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(Electronic resources)
Decision support for product development = using computational intelligence for information acquisition in enterprise databases /
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(Electronic resources)
Beyond business analytics = the foundations of behavioral perspective theory /
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(Electronic resources)
Machine learning for practical decision making = a multidisciplinary perspective with applications from healthcare, engineering and business analytics /
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(Electronic resources)
Artificial intelligence in control and decision-making systems = dedicated to Professor Janusz Kacprzyk /
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(Electronic resources)
Practical business analytics using R and Python = solve business problems using a data-driven approach /
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(Electronic resources)
Introduction to prescriptive AI = a primer for decision intelligence solutioning with Python /
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(Electronic resources)
AI-ML for decision and risk analysis = challenges and opportunities for normative decision theory /
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(Electronic resources)
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