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Mining sequential patterns
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Text document categorization by term association
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Maebashi City, Japan
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An information filtering model on the Web and its application in JobAgent
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Building text classifiers using positive and unlabeled examples
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Discovering business intelligence information by comparing company Web sites
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A multilevel approach to intelligent information filtering: Model, system, and evaluation
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PrefixSpan: Mining sequential patterns efficiently by prefix-projected pattern growth
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Heidelberg, Germany
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An algorithm for suffix stripping
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Machine learning in automated text categorization
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SLPMiner: An algorithm for finding frequent sequential patterns using length-decreasing support constraint
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TSP: Mining top-K closed sequential patterns
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CloSpan: Mining closed sequential patterns in large datasets
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San Francisco, CA
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X. Yan, J. Han, and R. Afshar, "CloSpan: mining closed sequential patterns in large datasets," Proceedings of SIAM Int. Conf. on Data Mining (SDM 03), San Francisco, CA, 2003, pp. 166-177.
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SPADE: An efficient algorithm for mining frequent sequences
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M. Zaki, "SPADE: An efficient algorithm for mining frequent sequences," Machine Learning vol. 40, 2001, pp. 31-60.
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Zaki, M.1
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