Titlebook: Entropy Measures, Maximum Entropy Principle and Emerging Applications; Karmeshu Book 2003 Springer-Verlag Berlin Heidelberg 2003 Applied I

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Computation of the MinMax Measure,oment constraints. It is based on both maximum and minimum entropy. Computational difficulties in the determination of minimum entropy probability distributions (MinEPD) have inhibited exploration of the full potential of minimum entropy and, hence, the MinMax measure. Initial attempts to solve the

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The Entropy Theory as a Decision Making Tool in Environmental and Water Resources,here has been a proliferation of applications of entropy in a wide spectrum of areas, including environmental and water resources. The real impetus to entropy-based modelling in environmental and water resources was however provided in the early 1970s, and a great variety of entropy-based applicatio

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Information-Theoretic Measures for Knowledge Discovery and Data Mining,the context of knowledge discovery and data mining (KDD), we present a critical review and analysis of information-theoretic measures of attribute importance and attribute association, with emphasis on their interpretations and connections.

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Facets of Generalized Uncertainty-based Information,: uncertainty formalization, uncertainty measurement, and uncertainty utilization. Thus far, uncertainty (and uncertainty-based information) has been investigated at each of these three levels only in the Dempster-Shafer theory of evidence and its special branches. Results of these investigations are reviewed.