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- W1604919076 abstract "One of the classic data mining problems is discovery of frequent itemsets. This problem particularly attracts database community as it resembles traditional database querying. In this paper we consider a data mining system which supports storing of previous query results in the form of materialized data mining views. While numerous works have shown that reusing results of previous frequent itemset queries can significantly improve performance of data mining query processing, a thorough study of possible differences between the current query and a materialized view has not been presented yet. In this paper we classify possible differences into six classes, provide I/O cost analysis for all the classes, and experimentally evaluate the most promising one." @default.
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- W1604919076 date "2004-01-01" @default.
- W1604919076 modified "2023-10-16" @default.
- W1604919076 title "A Study on Answering a Data Mining Query Using a Materialized View" @default.
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- W1604919076 doi "https://doi.org/10.1007/978-3-540-30182-0_50" @default.
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