FHM: Faster High-Utility Itemset Mining Using Estimated Utility Co-occurrence Pruning-Reference-Cited by-同舟云学术

FHM: Faster High-Utility Itemset Mining Using Estimated Utility Co-occurrence Pruning

Published:2014 Issue: Volume: Page:83-92
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Fournier-Viger Philippe,Wu Cheng-Wei,Zida Souleymane,Tseng Vincent S.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-08326-1_9

Reference11 articles.

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2. Ahmed, C.F., Tanbeer, S.K., Jeong, B.-S., Lee, Y.-K.: Efficient Tree Structures for High-utility Pattern Mining in Incremental Databases. IEEE Trans. Knowl. Data Eng. 21(12), 1708–1721 (2009)

3. LNAI;P. Fournier-Viger,2014

4. LNAI;P. Fournier-Viger,2014

5. Fournier-Viger, P., Nkambou, R., Tseng, V.S.: RuleGrowth: Mining Sequential Rules Common to Several Sequences by Pattern-Growth. In: Proc. ACM 26th Symposium on Applied Computing, pp. 954–959 (2011)

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