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Titlebook: Knowledge Engineering, Machine Learning and Lattice Computing with Applications; 16th International C Manuel Graña,Carlos Toro,Lakhmi C. Ja

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Investigation of Random Subspace and Random Forest Regression Models Using Data with Injected Noiserithms were developed in Matlab environment. The methods were applied to the real-world regression problem of predicting the prices of residential premises based on historical data of sales/purchase transactions. The accuracy of ensembles generated by the proposed methods was compared with bagging,
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A Web Browsing Cognitive Modelcture, hence this results to be a hard restriction to accomplish in the practice. We propose a decision-making model that allow predicting web users’ navigation choices even in dynamics web sites. We propose a neurophysiological theory of web browsing decision making, which is based on the Leaky Com
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Optimization of Approximate Decision Rules Relative to Number of Misclassifications: Comparison of Gative to the number of misclassifications. We use an uncertainty measure that is a difference between the number of rows in a decision table . and the number of rows with the most common decision for .. For a nonnegative real number ., we consider .-decision rules that localize rows in subtables of
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Mining High Performance Managers Based on the Results of Psychological Testsny approaches to select the candidates that best fit into the requirements of a certain position. However, defining what are the most important features that condition a good personnel performance is still a problem. In this paper, we discuss an approach, based on data mining techniques, to help man
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Semantics Preservation in Schema Mappings within Data Exchange Systemss of integrity constraints and we expect that the semantics will be preserved after transforming the data into a target database. The transformation is defined by means of schema mappings. In order to reason about soundness and completeness of such mappings with respect to semantics preservation, we
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