Towards efficient mining of periodic-frequent patterns in transactional databases

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6262 LNCS, Issue PART 2, 2010, Pages 194-208

  Uday Kiran, R ^a   Krishna Reddy, P ^a  

^a INTERNATIONAL INSTITUTE OF INFORMATION TECHNOLOGY   (India)

Author keywords

Data mining; frequent pattern; multiple constraints; rare periodic frequent pattern

Indexed keywords

COMBINATORIAL EXPLOSION; CONSTRAINT CONTROL; FREQUENT PATTERNS; MINIMUM SUPPORT; MULTIPLE CONSTRAINTS; NONUNIFORM; PATTERN GROWTH; PERIODIC PATTERN; RARE PERIODIC-FREQUENT PATTERN; REAL-WORLD DATABASE; TRANSACTIONAL DATABASE;

DATABASE SYSTEMS; EXPERT SYSTEMS; PROBLEM SOLVING;

DATA MINING;

EID: 78049407048     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15251-1_16     Document Type: Conference Paper

References (9)

1. Agrawal, R., Imielinski, T., and Swami, A.: Mining association rules between sets of items in large databases. In: SIGMOD, pp. 207-216 (1993)
2. Jiawei, H., Jian, P., Yiwen, Y., and Runying, M.: Mining Frequent Patterns without Candidate Generation: A Frequent-Pattern Tree Approach*. In: ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, pp. 53-87 (2004)
3. Tanbeer, S. K., Ahmed, C. F., Jeong, B., and Lee, Y.: Discovering Periodic-Frequent Patterns in Transactional Databases. In: Pacific Asia Knowledge Discovery in Databases (2009)
4. Liu, B., Hsu, W., and Ma, Y.: Mining Association Rules with Multiple Minimum Supports In: Knowledge Discovery and Databases, pp. 337-241 (2009)
5. Hu, Y.-H., Chen, Y.-L.: Mining Association Rules with Multiple Minimum Supports: A New Algorithm and a Support Tuning Mechanism. Decision Support Systems 42(1), 1-24 (2006)
6. Uday Kiran, R., Krishna Reddy, P.: An Improved Multiple Minimum Support Based Approach to Mine Rare Association Rules. In: IEEE Symposium on Computational Intelligence and Data Mining (2009)
7. Uday Kiran, R., Krishna Reddy, P.: An Improved Frequent Pattern-growth Approach to Discover Rare Association rules. In: International Conference on Knowledge Discovery and Information Retrieval (2009)
8. Uday Kiran, R., Krishna Reddy, P.: Mining Rare Association Rules in the Datasets with Widely Varying Items' Frequencies. In: Kitagawa, H., Ishikawa, Y., Li, Q., Watanabe, C. (eds.) DASFAA 2010. LNCS, vol. 5981, pp. 49-62. Springer, Heidelberg (2010)
9. Brijs, T., Swinnen, G., Vanhoof, K., Wets, G.: The use of association rules for product assortment decisions - a case study. In: Knowledge Discovery and Data Mining (1999)