Top down FP-growth for association rule mining

Ke Wang; Liu Tang; Jiawei Han; Junqiang Liu

doi:10.1007/3-540-47887-6_34

Top down FP-growth for association rule mining

Ke Wang, Liu Tang, Jiawei Han, Junqiang Liu

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this paper, we propose an efficient algorithm, called TD-FP- Growth (the shorthand for Top-Down FP-Growth), to mine frequent patterns. TD-FP-Growth searches the FP-tree in the top-down order, as opposed to the bottom-up order of previously proposed FP-Growth. The advantage of the topdown search is not generating conditional pattern bases and sub-FP-trees, thus, saving substantial amount of time and space. We extend TD-FP-Growth to mine association rules by applying two new pruning strategies: one is to push multiple minimum supports and the other is to push the minimum confidence. Experiments show that these algorithms and strategies are highly effective in reducing the search space.

Original language	English (US)
Title of host publication	Advances in Knowledge Discovery and Data Mining - 6th Pacific-Asia Conference, PAKDD 2002, Proceedings
Editors	Ming-Syan Chen, Philip S. Yu, Bing Liu
Publisher	Springer
Pages	334-340
Number of pages	7
ISBN (Print)	9783540437048
DOIs	https://doi.org/10.1007/3-540-47887-6_34
State	Published - 2002
Externally published	Yes
Event	6th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2002 - Taipei, Taiwan, Province of China Duration: May 6 2002 → May 8 2002

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	2336
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	6th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2002
Country/Territory	Taiwan, Province of China
City	Taipei
Period	5/6/02 → 5/8/02

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Online availability

10.1007/3-540-47887-6_34

Library availability

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Wang, K., Tang, L., Han, J., & Liu, J. (2002). Top down FP-growth for association rule mining. In M-S. Chen, P. S. Yu, & B. Liu (Eds.), Advances in Knowledge Discovery and Data Mining - 6th Pacific-Asia Conference, PAKDD 2002, Proceedings (pp. 334-340). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2336). Springer. https://doi.org/10.1007/3-540-47887-6_34

Top down FP-growth for association rule mining. / Wang, Ke; Tang, Liu; Han, Jiawei et al.
Advances in Knowledge Discovery and Data Mining - 6th Pacific-Asia Conference, PAKDD 2002, Proceedings. ed. / Ming-Syan Chen; Philip S. Yu; Bing Liu. Springer, 2002. p. 334-340 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2336).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Wang, K, Tang, L, Han, J & Liu, J 2002, Top down FP-growth for association rule mining. in M-S Chen, PS Yu & B Liu (eds), Advances in Knowledge Discovery and Data Mining - 6th Pacific-Asia Conference, PAKDD 2002, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2336, Springer, pp. 334-340, 6th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2002, Taipei, Taiwan, Province of China, 5/6/02. https://doi.org/10.1007/3-540-47887-6_34

Wang K, Tang L, Han J, Liu J. Top down FP-growth for association rule mining. In Chen M-S, Yu PS, Liu B, editors, Advances in Knowledge Discovery and Data Mining - 6th Pacific-Asia Conference, PAKDD 2002, Proceedings. Springer. 2002. p. 334-340. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/3-540-47887-6_34

Wang, Ke ; Tang, Liu ; Han, Jiawei et al. / Top down FP-growth for association rule mining. Advances in Knowledge Discovery and Data Mining - 6th Pacific-Asia Conference, PAKDD 2002, Proceedings. editor / Ming-Syan Chen ; Philip S. Yu ; Bing Liu. Springer, 2002. pp. 334-340 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Top down FP-growth for association rule mining

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