Titlebook: Advances in Knowledge Discovery and Data Mining; 9th Pacific-Asia Con Tu Bao Ho,David Cheung,Huan Liu Conference proceedings 2005 Springer-

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Can Baykal MD,K. Didem Yazgano?lu MDs efficient online mining and propose the interval-list representation. Based on Lossy Counting, we propose ILB, an interval-list-based online mining algorithm for discovering frequent sensor value sets. Through extensive experiments, we compare the performance of ILB against an application of Lossy

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Autonomic Dysfunction Versus Neuropathyever, the order existing between items must be considered in some applications. In this paper, we first give the formal model of ordered patterns and discuss the problem of mining frequent ordered patterns. Base on our analyses, we present two efficient algorithms for mining frequent ordered pattern

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