Top-k high utility pattern mining with effective threshold raising strategies

Author:

Ryang Heungmo,Yun Unil

Funder

National Research Foundation of Korea

Ministry of Education, Science and Technology

Ministry of Science, ICT & Future Planning

National ICT Industry Promotion Agency

Business for Cooperative R&D between Industry, Academy, and Research Institute

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference41 articles.

1. R. Agrawal, R. Srikant, Fast algorithms for mining association rules, in: Proc. of the 20th Int’l Conf. on Very Large Data Bases (VLDB 1994), 1994, pp. 487–499.

2. Efficient tree structures for high utility pattern mining in incremental databases;Ahmed;IEEE Trans. Knowl. Data Eng.,2009

3. Mining frequent itemsets without support threshold: with and without item constraints;Cheung;IEEE Trans. Knowl. Data Eng.,2004

4. C. Chen, X. Yan, F. Zhu, J. Han, gApprox: mining frequent approximate patterns from a massive network, in: ICDM 2007, 2007, pp. 445–450.

5. Mining top-k frequent patterns in the presence of the memory constraint;Chuang;VLDB J.,2008

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