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https://link.springer.com/chapter/10.1007/978-1-4615-1147-2_7
Abstract. The effort to create machines with some sort of intelligence began almost 100 years ago with the ideas of Babbage (1884) as shown in Figure 1.In 1950, Alan Turin, the “father of Artificial Intelligence” (Barr and Feigenbaum, 1981), presented the famous Turing test, which gives an answer to the question if a machine is able to think as a human being (Rich, 1983).Cited by: 76
https://www.intechopen.com/books/decision-support-systems-advances-in/intelligent-techniques-for-decision-support-system-in-human-resource-management
Intelligent Techniques for Decision Support System in Human Resource Management, Decision Support Systems, Advances in, Ger Devlin, IntechOpen, DOI: 10.5772/39401. Available from: Over 21,000 IntechOpen readers like this topic. Help us write another book on …Cited by: 12
https://dl.acm.org/citation.cfm?id=249195
Reviewer: Michael A. Pittarelli On the whole, this book succeeds in presenting a survey of artificial intelligence techniques for business applications at a level of technical detail that is suitable, say, for an introductory course in an MBA program.Cited by: 156
https://www.researchgate.net/publication/302294948_Intelligent_Decision_Support_Methods
Intelligent Decision Support Methods. ... original premises of those competitions was to advance the development of intelligent robotic systems. A method used for rating the competence of human ...
https://www.hindawi.com/journals/sp/si/295240/cfp/
Intelligent decision support systems (IDSSs) are widely used in various computer science applications for intelligent decision-making. To implement these IDSSs, machine learning algorithms and diverse programming paradigms and frameworks are required. Machine learning and prediction algorithms are abundant in nature and produce variable results.
https://www.springer.com/gp/book/9781402071942
Intelligent Support Systems for Marketing Decisions examines new product development, market penetration strategies, and other marketing decisions utilizing a confluence of methods, including Decision Support Systems (DSS), Artificial Intelligence in Marketing and Multicriteria Analysis. The
https://www.ijcai.org/proceedings/2017/0736.pdf
on decision making performed manually; the involvement of an automated system is becoming a requirement. However, in the modelling of intelligent support tools, it is important to understand that, as part of the decision making process, humans consider far more knowledge than that con-tained in the database; they primarily incorporate into the pro-
http://repositorium.sdum.uminho.pt/bitstream/1822/39169/1/main.pdf
A Proactive Intelligent Decision Support System for Predicting the Popularity of Online News Kelwin Fernandes1, Pedro Vinagre 2, and Paulo Cortez 1 INESC TEC Porto/Universidade do Porto, Portugal 2 ALGORITMI Research Centre, Universidade do Minho, Portugal Abstract. Due to the Web expansion, the prediction of online newsCited by: 115
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