Efficiently mining both association and correlation rules

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

Volumn 4223 LNAI, Issue , 2006, Pages 369-372

  Zhou, Zhongmei ^a,b   Wu, Zhaohui ^a   Wang, Chunshan ^a   Feng, Yi ^a  

^a ZHEJIANG UNIVERSITY   (China)

^b MINNAN NORMAL UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ASSOCIATIVE PROCESSING; DATA MINING; PROBABILITY;

CONDITIONAL PROBABILITY; CORRELATION RULES;

CORRELATION THEORY;

EID: 33750555512     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11881599_42     Document Type: Conference Paper

References (8)

1. R. Agrawal, T. Imielinski, A. Swami. Mining Association Rules Between Sets of Items in Large Databases. In Proc. 1993 ACM SIGMOD Int. Conf. Management of Data (SIGMOD'93), pp. 207-216.
2. R. Agrawal, R. Srikant. Fast Algorithms for Mining Association Rules in Large Databases. In Proc. 1994 VLDB Int. Conf. Very Large Databases (VLDB'94), pp. 487-499.
3. S. Brin, R. Motwani, C. Silverstein. Beyond Market Basket: Generalizing Association Rules to Correlations. In Proc. 1997 ACM SIGMOD Int. Conf. Management of Data (SIGMOD'97), pp. 265-276.
4. H. Liu, H. Lu, L. Feng, F. Hussain. Efficient Search of Reliable Exceptions. In Proc. Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'99), pp. 194-203.
5. E. Omiecinski. Alternative interesting measures for mining associations. IEEE Trans. Knowledge and Data Engineering, 2003(15): 57-69.
6. G. Piatetsky-Shapiro. Discovery, Analysis and Presentation of Strong Rules. Knowledge Discovery in Databases, AAAI/MIT Press, 1991. pp. 229-248.
7. Y.-K. Lee, W.-Y. Kim, Y. D. Cai, J. Han. CoMine: Efficient Mining of Correlated Patterns. In Proc. 2003 Int. Conf. Data Mining (ICDM'03), pp.581-584.
8. Zhongmei Zhou, Zhaohui Wu, Chunshan Wang, Fengyi. Mining both associated and correlated patterns. In Proc. 2006 ICCS Int. Conf. Computational Science (ICCS'06), pp.468-475.