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An implication expression of the form X Y, where X and Y are itemsets. Example: ... Dynamic itemset counting and implication rules for market basket data. In SIGMOD'97 ...
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Ordinal ... Ordinal attribute: distinctness & order. Interval attribute: distinctness, order & addition ... Ordinal. The values of an ordinal attribute provide ...
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Classification A Two-Step Process. Model construction: describing a set of predetermined classes ... Supervised learning (classification) ...
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How do we learn the 'daughter' relationship? Is this classification? Association? ... Missing data (e.g., a daughter with no parents in the database) ...
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Probability: p(a, b, c, d) = ab ac Sampling ... Max-patterns ... BCD is not a max-pattern. A,C,D,F. 30. B,C,D,E, 20. A,B,C,D,E. 10. Items. Tid. Min_sup=2 ...
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Describe what an interesting pattern would look like ... Synonyms/homonyms: concept identification hard. Difficult to parse meaning ...
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Software infrastructure for large-scale parallel and distributed computing. ... clients such as Gnutella and Limewire do not have a centralized server ...
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CS590D: Data Mining Chris Clifton January 10, 2006 Course Overview What Is Data Mining? Data mining (knowledge discovery from data) Extraction of interesting (non ...
