Mining Association Rules in Long Sequences-Reference-Cited by-同舟云学术

Mining Association Rules in Long Sequences

Published:2010 Issue: Volume: Page:300-309
ISSN:0302-9743
Container-title:Advances in Knowledge Discovery and Data Mining
language:
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Author:

Cule Boris,Goethals Bart

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-13657-3_33.pdf

Reference8 articles.

1. Agrawal, R., Imielinski, T., Swami, A.: Mining Association Rules between Sets of Items in Large Databases. In: Proc. ACM SIGMOD Int. Conf. on Management of Data, pp. 207–216 (1993)

2. Cule, B., Goethals, B., Robardet, C.: A new constraint for mining sets in sequences. In: Proc. SIAM Int. Conf. on Data Mining (SDM), pp. 317–328 (2009)

3. Das, G., Lin, K.-I., Mannila, H., Renganathan, G., Smyth, P.: Rule discovery from time series. In: Proc. Int. Conf. on Knowledge Discovery and Data Mining (KDD), pp. 16–22 (1998)

4. Lecture Notes in Artificial Intelligence;G.C. Garriga,2003

5. Harms, S.K., Saquer, J., Tadesse, T.: Discovering Representative Episodal Association Rules from Event Sequences Using Frequent Closed Episode Sets and Event Constraints. In: Proc. IEEE Int. Conf. on Data Mining (ICDM), pp. 603–606 (2001)

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