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theexplaining attributes. These are called classification problemswith monotonicity constraints. Classical decision tree …
Persistent link: https://www.econbiz.de/10014092464
The decision tree algorithm for monotone classification presented in [4, 10] requires strictly monotone data sets. This …
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In scientometric research, the use of co-occurrence data is very common. In many cases, a similarity measure is employed to normalize the data. However, there is no consensus among researchers on which similarity measure is most appropriate for normalization purposes. In this paper, we...
Persistent link: https://www.econbiz.de/10012757981
In scientometric research, the use of co-occurrence data is very common. In many cases, a similarity measure is employed to normalize the data. However, there is no consensus among researchers on which similarity measure is most appropriate for normalization purposes. In this paper, we...
Persistent link: https://www.econbiz.de/10010731291
This paper focuses on the problem of monotone decision trees from the point of view of the multicriteria decision aid … methodology (MCDA). By taking into account the preferences of the decision maker, an attempt is made to bring closer similar … monotone decision trees. Two criteria from the literature are com- pared experimentally - the entropy criterion and the number …
Persistent link: https://www.econbiz.de/10010731315
communication in a distributed decision making context to leverage the skills and intellect of its key professionals. This paper … key decision support systems functionalities required for managing knowledge in situations where decision making is …
Persistent link: https://www.econbiz.de/10014092650
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