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Titlebook: Advances in Intelligent Data Analysis. Reasoning about Data; Second International Xiaohui Liu,Paul Cohen,Michael Berthold Conference procee

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Information Retrieval from Black Holeserent parts of the feature space. In some other problems the classes can be divided into subsets such that distinguishing one subset of classes from another and classifying examples within such subsets require very different decision rules, involving different sets of features. In such heterogeneous
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Information Retrieval from Black Holes data. The main focus of the paper is the development of a cluster-based user model that modifies the frequency, style and content of the messages produced by the expert system. Clusters in the population of potential users are identified by cluster analysis of the results of a preliminary survey de
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Quantum Bits and Quantum Computation systematically unearth hidden information and bring forth knowledge from complex, noisy and incomplete data, we must be sure that such systems are first able to determine all possible patterns, which are suggestive of such information and knowledge from all possibly relevant, clean and complete dat
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Classical and Quantum Cosmologyrrors, developing new representations, and integrating with other data analysis tools. To aid in this development we introduce a design for using Meta-Reasoning in a Data Analysis Tool Allocation system that employs analogical and structural reasoning to learn from and across domains and its experie
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