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Titlebook: Database Systems for Advanced Applications; 9th International Co YoonJoon Lee,Jianzhong Li,Doheon Lee Conference proceedings 2004 Springer-

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Planning and Control of Firms and Projectsf frequent query patterns that are issued by users. In this paper, we model user queries as a stream of XML query pattern trees and mine for frequent query patterns in a batch-wise manner. We design a novel data structure called . to merge the pattern trees of the batches seen so far, and to dynamic
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Incentivization or Disincentivisationrmation. To encourage users to provide correct inputs, we recently proposed a data distortion scheme for association rule mining that simultaneously provides both privacy to the user and accuracy in the mining results. However, mining the distorted database can be orders of magnitude more time-consu
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