A Survey on Effective Mining of Negative Association Rules from Huge Databases

Authors

  • E Bala Krishna Dept. of CSE, JNTU Hyd, India
  • B Rama Dept. of Computer Science, Kakatiya University, India
  • A Nagaraju Dept. of CSE, Rajasthan Central University, India

Keywords:

Negative Association Rules, Infrequent Item Sets, Non- Interest Patterns

Abstract

This paper describes about research work carried out by various authors, in which different methods are adapted to mine negative association rules. Many research surveys indicate that negative association rules are very important as positive association rules. The discovery of negative association rules are based on the interest patterns and non-interest patterns from data base (that is mining negative association rules from frequent item sets and infrequent item sets). A negative association is referred to as a negative relation between two item sets. This negative relation implies a negative rule between the two item sets.

References

Savasere, E. Omiecinski and S. Navathe,” Mining for Strong Nеgativе Аssociations in a Large Database of Customer Transactions”, Proc. Intl. Conf. on Data Engineering, 1998, pp 494–502.

R. Agarwal, E. R. Srikant, “Fast Algorithms for Mining Аssociation Rules in Large Databases,” Proc. Of the 20th International conference on very Large Databases,pp.487-499, Santiago, Chile, 1994.

Idheba Mohammad Ali O, Swesi, Azuraliza Abu Bakar and Anis Suhailis Abdul Kadir “Mining Positive and Nеgativе Аssociation Rules from Interesting Frequent and Infrequent Itemsets” 978-1-4673-0024/10/@26 @2012.

D.R. Thiruvady and G.I. Webb,” Mining Nеgativе Аssociation Rules Using GRD”, Proc. Pacific-Asia Conf. on Advances in Knowledge Discovery and Data Mining, 2004, pp 161–165.

Wu Χ., Zhang C., Zhang S.: Mining both positive and nеgativе аssociation rules. In: Proc. Of ICML (2002) 658- 665

Χ. Wu, C. Zhang and S. Zhang,” Efficient Mining of both Positive and Nеgativе Аssociation Rules”, ACM Trans on Information Systems, vol. 22(3), 2004, pp 381–405.

P. Υan, G. Chen, C. Cornelis, M. De Cock and E.E. Kerre,” Mining Positive and Nеgativе Fuzzy Аssociation Rules”, LNCS 3213, 2004, pp 270–276.

Χ. Υuan, B.P. Buckles, Z. Υuan and J. Zhang, ”Mining Nеgativе Аssociation Rules”, Proc. Seventh Intl. Symposium on Computers and Communication, Italy, 2002, pp 623–629.

S. Brin, R. Motwani and C. Silverstein,” Beyond Market Baskets: Generalizing Аssociation Rules to Correlations”, Proc. ACM SIGMOD on Management of Data, 1997, pp 265-276.

Rakesh duggirala, P.Narayan: IJCTT on “Mining Positive and Nеgativе Аssociation Rules Using Coherent Approach” ,2013

Sandeep Singh Rawat and Lakshmi Rajamani “Probability Apriori based Approach to Mine Rare Аssociation Rules” Data Mining and Optimization (DMO) 28-29 June 2011, Selangor, Malaysia 978-1-61284-212-7/11/$26.00 ©IEEE 2011.

Nikky Suryawanshi, Susheel Jain, Anurag Jain, “A Review of Nеgativе and Positive аssociation rule mining with Multiple constraint and correlation factor”, 2012, pp 778-781

Li-Min Tsai, Shu-Jing Lin, and Don-Lin Υang “Efficient Mining of Generalized Nеgativе Аssociation Rules” Granular Computing 978-0-7695-4161-7/10 $26.00 © IEEE 2010.

O. Daly and D. Taniar, “Exception rules mining based on nеgativе аssociation rules”, lecture notes in computer science, vol. 3046, 2004 and pp 543-552.

M. L. Antonie and O. R. Zaiane, “Mining Positive and Nеgativе Аssociation Rules: an Approach for confined rules”, Proc. Intl. Conf. on Principles and Practice of Knowledge Discovery in Databases, 2004, pp 27-38.

Arun K Pujari “Data Mining Techniques” @ Universities press (India) private limited 2001, 2009:81-99.

Kavitha Rani et al. “Mining Nеgativе Аssociation Rules” International Journal of Engineering and Technology Vol.3 (2), 2011, 100-105.

Sumalatha et al. “Mining Positive and Nеgativе Аssociation Rules” International Journal of Engineering and Technology Vol.02, No.09, 2010, 2916-2920

Υun Sing Koh, Russel Pears, “Efficiently Finding Nеgativе Аssociation Rules With Out Ѕupport Threshold”: AI 2007, LNAI 4830, pp. 710–714, 2007. C_Springer-Verlag Berlin Heidelberg 2007

Kudu, G. Islam, M.M; Munir, S.; Bari, M.F. “An associative classifier with nеgativе rules” 978-1-4244- 2172-5@31@2008

John Tsiligaridis, Toppenish, WA” for mining nеgativе аssociation rules: An Approach for Binary Trees”: International Journal of New Computer Architectures and their Applications (IJNCAA) 3(3): 81-87. The Society of Digital Information and Wireless Communications, 2013 (ISSN: 2220-9085)

Chris Cornelis, peng Υan, Χing Zhang: IEEE conference on “ Mining Positive and Nеgativе Аssociation Rules from Large Databases”, 2006.

Downloads

Published

2025-11-10

How to Cite

[1]
E. Bala Krishna, B. Rama, and A. Nagaraju, “A Survey on Effective Mining of Negative Association Rules from Huge Databases”, Int. J. Comp. Sci. Eng., vol. 3, no. 9, pp. 220–223, Nov. 2025.

Issue

Vol. 3 No. 9 (2015): IJCSE September Edition

Section

Survey Article

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Authors contributing to this journal agree to publish their articles under the Creative Commons Attribution 4.0 International License, allowing third parties to share their work (copy, distribute, transmit) and to adapt it, under the condition that the authors are given credit and that in the event of reuse or distribution, the terms of this license are made clear.