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Mining Sequential Patterns
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Mining Temporal Relationships with Multiple Granularities in Time Sequences
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C. Bettini, X. S. Wang, and S. Jajodia,. Mining Temporal Relationships with Multiple Granularities in Time Sequences,. Data Engineering Bulletin, Vol. 21, pp. 32-38, 1998.
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SPIRIT: Sequential Pattern Mining with Regular Expression Constraints
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Edinburgh, Scotland
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M. N. Garofalakis, R. Rastogi, and K Shim,. SPIRIT: Sequential Pattern Mining with Regular Expression Constraints,. Proceedings of the 25th International Conference on Very Large Data Bases, Edinburgh, Scotland, pp. 223-234, 1999.
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FreeSpan: Frequent pattern-projected sequential pattern mining
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J. Han, J. Pei, B. Mortazavi-Asl, Q. Chen, U. Dayal and M.-C. Hsu, FreeSpan: Frequent pattern-projected sequential pattern mining,. Proceedings of the 6th ACM SIGKDD international conference on Knowledge discovery and data mining, pp. 355-359, 2000.
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Incremental Update on Sequential Patterns in Large Databases
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M. Y. Lin and S Y Lee,. Incremental Update on Sequential Patterns in Large Databases,. Proceedings of 10th IEEE International Conference on Tools with Artificial Intelligence, Taipei, Taiwan, pp. 24-31, 1998.
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Discovery of Frequent Episodes in Event Sequences
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H. Mannila, H. Toivonen and A. I. Verkamo,. Discovery of Frequent Episodes in Event Sequences,. Data Mining and Knowledge Discovery, Vol. 1, Issue 3, pp. 259-289, 1997.
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The PSP Approach for Mining Sequential Patterns
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Nantes, France, Sep
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F. Masseglia, F. Cathala, and P. Poncelet,. The PSP Approach for Mining Sequential Patterns,. Proceedings of 1998 2nd European Symposium on Principles of Data Mining and Knowledge Discovery, Vol. 1510, Nantes, France, pp. 176-184, Sep. 1998.
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A Family of Algorithms for Finding Temporal Structure in Data
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PrefixSpan: Mining sequential patterns efficiently by prefix-projected pattern growth
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J. Pei, J. Han, H. Pinto, Q. Chen, U. Dayal and M.-C Hsu,. PrefixSpan: Mining sequential patterns efficiently by prefix-projected pattern growth,. Proceedings of 2001 International Conference on Data Engineering, pp. 215-224, 2001.
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Mining Sequential Patterns: Generalizations and Performance Improvements
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Avignon, France, An extended version is the IBM Research Report RJ 9994
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R. Srikant and R. Agrawal,. Mining Sequential Patterns: Generalizations and Performance Improvements,. Proceedings of the 5th International Conference on Extending Database Technology, Avignon, France, pp. 3-17, 1996. (An extended version is the IBM Research Report RJ 9994)
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Discovering patterns from large and dynamic sequential data
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K. Wang,. Discovering patterns from large and dynamic sequential data,. Journal of Intelligent Information Systems, Vol. 9, No. 1, pp. 33-56, 1997.
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SPADE: An Efficient Algorithm for Mining Frequent Sequences
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M. J. Zaki,. SPADE: An Efficient Algorithm for Mining Frequent Sequences,. Machine Learning Journal, Vol. 42, No. 1/2, pp. 31-60, 2001.
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