Non-recursive Generation of Frequent K-itemsets from Frequent Pattern Tree Representations-Reference-Cited by-同舟云学术

Non-recursive Generation of Frequent K-itemsets from Frequent Pattern Tree Representations

Published:2003 Issue: Volume: Page:371-380
ISSN:0302-9743
Container-title:Data Warehousing and Knowledge Discovery
language:
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Author:

El-Hajj Mohammad,Zaïane Osmar R.

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-45228-7_37

Reference8 articles.

1. Agarwal, R., Aggarwal, C., Prasad, V.: A tree projection algorithm for generation of frequent itemsets. Parallel and distributed Computing (2000)

2. Agrawal, R., Srikant, R.: Fast algorithms for mining association rules. In: Proc. 1994 Int. Conf. Very Large Data Bases, Santiago, Chile, pp. 487–499 (September 1994)

3. IBM. Almaden. Quest synthetic data generation code, http://www.almaden.ibm.com/cs/quest/syndata.html

4. Borgelt, C.: Apriori implementation, http://fuzzy.cs.unimagdeburg.de/~borgelt/apriori/apriori.html

5. Han, E.-H., Karypis, G., Kumar, V.: Scalable parallel data mining for association rule. Transactions on Knowledge and data engineering 12(3), 337–352 (2000)

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