Titlebook: Machine Learning and Knowledge Discovery in Databases; European Conference, Walter Daelemans,Bart Goethals,Katharina Morik Conference proce

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Conference proceedings 2008in Antwerp, Belgium, in September 2008. The 100 papers presented in two volumes, together with 5 invited talks, were carefully reviewed and selected from 521 submissions. In addition to the regular papers the volume contains 14 abstracts of papers appearing in full version in the Machine Learning Jo

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Machine Learning and Knowledge Discovery in Databases978-3-540-87479-9Series ISSN 0302-9743 Series E-ISSN 1611-3349

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The Role of Hierarchies in Exploratory Data Miningold: first, the size of the space raises computational challenges, and second, it can introduce data sparsity issues even in the presence of very large datasets. In this talk, well consider how the use of hierarchies (e.g., taxonomies, or the OLAP multidimensional model) can help mitigate the problem.

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The Boolean Column and Column-Row Matrix Decompositionsata matrix. Different decomposition formulations have been proposed for this task, many of which assume a certain property of the input data (e.g., nonnegativity) and aim at preserving that property in the decomposition.

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