Mining Top-k Distinguishing Sequential Patterns with Flexible Gap Constraints-Reference-Cited by-同舟云学术

Mining Top-k Distinguishing Sequential Patterns with Flexible Gap Constraints

Published:2016 Issue: Volume: Page:82-94
ISSN:0302-9743
Container-title:Web-Age Information Management
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Author:

Gao Chao,Duan Lei,Dong Guozhu,Zhang Haiqing,Yang Hao,Tang Changjie

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-39937-9_7

Reference16 articles.

1. Dong, G., Bailey, J.: Contrast Data Mining: Concepts, Algorithms, and Applications. CRC Press, Boca Raton (2012)

2. Ji, X., Bailey, J., Dong, G.: Mining minimal distinguishing subsequence patterns with gap constraints. Knowl. Inf. Syst. 11(3), 259–286 (2007)

3. Lecture Notes in Computer Science;X Wang,2014

4. Yang, H., Duan, L., Dong, G., Nummenmaa, J., Tang, C., Li, X.: Mining itemset-based distinguishing sequential patterns with gap constraint. In: Proceedings of the 20th International Conference on Database Systems for Advanced Applications, pp. 39–54 (2015)

5. Li, C., Yang, Q., Wang, J., Li, M.: Efficient mining of gap-constrained subsequences and its various applications. ACM Trans. Knowl. Discov. Data (TKDD) 6(1), 2:1–2:39 (2012)

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