Titlebook: Data Warehousing and Knowledge Discovery; 5th International Co Yahiko Kambayashi,Mukesh Mohania,Wolfram Wöß Conference proceedings 2003 Spr

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Computer Integrated Manufacturingsis, the HITS algorithm, calculates authority scores as the eigenvector of a adjacency matrix created from the Web graph. Although it was considered impossible to compute the eigenvector of a very large scale of Web graph using previous techniques, due to this calculation requires enormous memory sp

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https://doi.org/10.1007/978-1-4471-3257-8transforming the initial set of attributes into binary attributes, thereby avoiding obtaining a prohibitive number of rules of little significance with many redundancies. This new kind of rule, ordinal association rules, reveals the overall behavior of the population and it is vital that this study

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W. F. Gielingh,W. J. de Bruijn,J. R. Halbert examples) by repeatedly splitting the training data set. ID3 is a greedy algorithm that considers one attribute at a time for splitting at a node. In C4.5, all attributes, barring the nominal attributes used at the parent nodes, are retained for further computation. This leads to extra overheads of

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Computer Integrated Manufacturingor classification. According to our observation on real data, the distribution of attributes with respect to information gain is very sparse because only a few attributes are major discriminating attributes where a discriminating attribute is an attribute, by whose value we are likely to distinguish

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978-3-540-40807-9Springer-Verlag Berlin Heidelberg 2003

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Lecture Notes in Computer ScienceThe prospects of XML for data warehousing are staggering. As a primary purpose of data warehouses is to store non-operational data in the long term, i.e., to . them over time, the key reasons for the overwhelming success of XML as an . format also hold for data warehouses.