Abstract
In this paper, we present a new algorithm, Weighted Sequential support affinity pattern mining in which a new measure, sequential s-confidence is suggested. By using the measure, sequential patterns with support affinity are generated. A comprehensive performance study shows that WSAffinity is efficient and scalable in weighted sequential pattern mining. Moreover, it generates fewer but important sequential patterns.
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References
Agrawal, R., Srikant, R.: Mining Sequential Patterns. In: ICDE (1995)
Ayres, J., Gehrke, J., Yiu, T., Flannick, J.: Sequential Pattern Mining using A Bitmap Representation. In: SIGKDD 2002 (2002)
Chiu, D.Y., Wu, Y., Chen, A.L.P.: An Efficient Algorithm for Mining Frequent Sequences by a New Strategy without Support Counting. In: ICDE 2004 (2004)
Ester, M.: A Top-Down Method for Mining Most Specific Frequent Patterns in Biological Sequence Data. In: SDM 2004 (2004)
Garofalakis, M., Rastogi, R., Shim, K.: SPIRIT: Sequential pattern mining with regular expression constraints. In: VLDB 1999 (1999)
Han, J., Pei, J., Mortazavi-Asi, B., Chen, Q., Dayal, U., Hsu, M.C.: FreeSpan: Frequent Pattern-Projected Sequential Pattern Mining. In: SIGKDD 2000 (2000)
Kum, H.C., Pei, J., Wang, W., Duncan, D.: ApproxMAP: Approximate Mining of Consensus Sequential Patterns. In: SDM 2003 (2003)
Lorincz, H.A., Boulicaut, J.F.: Mining frequent sequential patterns under regular expressions: a highly adaptive strategy for pushing constraints. In: SDM 2003 (2003)
Pei, J., Han, J., Wang, W.: Mining Sequential Patterns with Constraints in Large Databases. In: CIKM 2002 (2002)
Pei, J., Han, J., Wang, J., Pinto, H., et al.: Mining Sequential Patterns by Pattern-Growth: The PrefixSpan Approach. IEEE Transactions on Knowledge and Data Engineering, rgrg (October 2004)
Pinto, H., Han, J., Pei, J., Wang, K.: Multi-domensional Sequence Pattern Mining. In: CIKM 2001 (2001)
Yun, U., Leggett, J.J.: WFIM: Weighted Frequent Itemset Mining with a weight range and a minimum weight. In: International conference on SIAM Data Mining (SDM 2005) (April 2005)
Yun, U., Leggett, J.J.: WSpan: Weighted Sequential pattern mining in large sequence databases. In: International conference on IEEE Intelligent Systems (IEEE IS 2006) (2006)
Zaki, M.: SPADE: An efficient algorithm for mining frequent sequences. Machine Learning (2001)
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© 2006 Springer-Verlag Berlin Heidelberg
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Yun, U. (2006). Mining Sequential Support Affinity Patterns with Weight Constraints. In: Madria, S.K., Claypool, K.T., Kannan, R., Uppuluri, P., Gore, M.M. (eds) Distributed Computing and Internet Technology. ICDCIT 2006. Lecture Notes in Computer Science, vol 4317. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11951957_36
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DOI: https://doi.org/10.1007/11951957_36
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-68379-7
Online ISBN: 978-3-540-68380-3
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