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With an increasing use of data mining tools and techniques, the authors envision that a Knowledge Discovery and Data Mining System (KDDMS) will have to support and optimize for the following scenarios: Sequence of Queries: a user may analyze one or more datasets by issuing a sequence of related complex mining queries, and Multiple Simultaneous Queries: several users may be analyzing a set of datasets concurrently, and may issue related complex queries. This paper presents a systematic mechanism to optimize for the above cases, targeting the class of mining queries involving frequent pattern mining on one or multiple datasets.
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