Mining conditional patterns in a database

Pattern Recognition Letters

Volumn 29, Issue 10, 2008, Pages 1515-1523

  Adhikari, Animesh ^a   Rao, P R ^b  

^a Smt Parvatibai Chowgule College   (India)

^b GOA UNIVERSITY   (India)

Author keywords

Association analysis; Conditional pattern; Synthesis of pattern

Indexed keywords

ALGORITHMS; DATABASE SYSTEMS; PATTERN RECOGNITION; PROBLEM SOLVING;

ASSOCIATION ANALYSIS; CONDITIONAL PATTERNS; SYNTHESIS OF PATTERN;

DATA MINING;

EID: 44449161278     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2008.03.005     Document Type: Article

References (14)

1. Adhikari, A., Rao, P.R., 2007. A framework for synthesizing arbitrary Boolean expressions induced by frequent itemsets. In: Proc. 3rd Indian Internat. Conf on Artificial Intelligence.
2. Agrawal, R., Imielinski, T., Swami A., 1993. Mining association rules between sets of items in large databases. In: Proc. ACM SIGMOD Conf. on Management of Data, 1993, pp. 207-216.
3. Agrawal, R., Srikant, R., 1994. Fast algorithms for mining association rules. In: Proc. Internat. Conf. on Very Large Data Bases, 1994, pp. 487-499.
4. Antonie, M.-L., Zai{dotless}̈ane, O.R., 2004. Mining positive and negative association rules: An approach for confined rules. In: Proc. PKDD, 2004, pp. 27-38.
5. Feller W. An Introduction to Probability Theory and its Applications. third ed. vol. 1 (1968), Wiley
6. Frequent itemset mining dataset repository. .
7. FIMI, 2004. .
8. Han, J., Pei, J., Yiwen, Y., 2000. Mining frequent patterns without candidate generation. In: Proc. ACM SIGMOD Conf. on Management of Data, 2000, pp. 1-12.
9. Hilderman, R.J. Hamilton, H.J., 1999. Knowledge discovery and interestingness measures: A survey. Technical Report CS-99-04, Department of Computer Science, University of Regina, 1999.
10. Hong S.J., and Weiss S.M. Advances in predictive models for data mining. Pattern Recognition Lett. 22 1 (2001) 55-61
11. Savasere, A., Omiecinski, E., Navathe, S., 1995. An efficient algorithm for mining association rules in large databases. In: Proceedings of the 21st International Conference on Very Large Data Bases, 1995, pp. 432-443.
12. Tan, P.-N., Kumar, V., Srivastava J., 2002. Selecting the right interestingness measure for association patterns. In: Proc. SIGKDD Conf., 2002, pp. 32-41.
13. Viswanath P., Murty M.N., and Bhatnagar S. Partition based pattern synthesis technique with efficient algorithms for nearest neighbor classification. Pattern Recognition Lett. 27 14 (2006) 1714-1724
14. Wu, X., Wu, Y., Wang, Y., Li, Y., 2005. Privacy-aware market basket data set generation: A feasible approach for inverse frequent set mining. In: Proc. SIAM Internat Conf. on Data Mining, 2005, pp. 103-114.