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Titlebook: Advances in Intelligent Data Analysis; Third International David J. Hand,Joost N. Kok,Michael R. Berthold Conference proceedings 1999 Spri

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https://doi.org/10.1007/978-1-349-22388-6fying and extracting these abstract spatial objects through the construction of a hierarchy of spatial relations. We demonstrate the approach with an application to finding troughs in weather data sets.
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https://doi.org/10.1007/978-0-387-21690-4r method can be utilized to derive . which represent topical information by characteristic keyword distributions arranged in a two—dimensional spatial layout. Combined with multi-resolution techniques this provides a three-dimensional space for interactive information navigation in large text collections.
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https://doi.org/10.1007/978-1-349-22388-6listic information gain generates a simple and efficient algorithm for the reduction of the input dimensionality, even for high dimensional cases. As real-world example, the most informative electrocardiographic measures are detected for an arrhythmia classification problem.
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