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An introduction to Kolmogorov complexity and its applications
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Automatic Construction of Decision Trees from Data: A Multi-Disciplinary Survey
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Feature selection on hierarchy of web documents
Decision Support Systems - Web retrieval and mining
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Operations and evaluation measures for learning possibilistic graphical models
Artificial Intelligence - Special issue: Fuzzy set and possibility theory-based methods in artificial intelligence
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Information Systems - Knowledge discovery and data mining (KDD 2002)
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Fundamenta Informaticae - Intelligent Systems
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Web Semantics: Science, Services and Agents on the World Wide Web
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Data Mining and Knowledge Discovery
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Intelligent Data Analysis
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WOOT '07 Proceedings of the first USENIX workshop on Offensive Technologies
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CEA'07 Proceedings of the 2007 annual Conference on International Conference on Computer Engineering and Applications
Web document classification and its performance evaluation
EC'08 Proceedings of the 9th WSEAS International Conference on Evolutionary Computing
Emotion Recognition through Multiple Modalities: Face, Body Gesture, Speech
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ECML PKDD '08 Proceedings of the 2008 European Conference on Machine Learning and Knowledge Discovery in Databases - Part I
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Transactions on rough sets VII
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Artificial Intelligence in Medicine
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IEA/AIE'11 Proceedings of the 24th international conference on Industrial engineering and other applications of applied intelligent systems conference on Modern approaches in applied intelligence - Volume Part I
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ICANN'11 Proceedings of the 21st international conference on Artificial neural networks - Volume Part II
Evaluating interestingness measures with linear correlation graph
IEA/AIE'06 Proceedings of the 19th international conference on Advances in Applied Artificial Intelligence: industrial, Engineering and Other Applications of Applied Intelligent Systems
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We analyse the basics of eleven measures for estimating the quality of the multivalued attributes. The values of information gain J-measure, gini-index and relevance tend to lin early increase with the number of values of an attribute. The values of gam-ratio dis tance measure, Relief and the weight of evidence decrease for informative attributes and increase for irrelevant attributes. The bias of the statistic tests based on the chi-square distribution is similar but these functions are not able to discriminate among the attributes of different quality. We also introduce a new func tion based on the MDL principle whose value slightly decreases with the increasing number of attributes values.