CFP last date
20 May 2024
Reseach Article

Implementation of Association Rule Mining using Reverse Apriori Algorithmic Approach

by Ashma Chawla, Kanwalvir Singh Dhindsa
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 93 - Number 8
Year of Publication: 2014
Authors: Ashma Chawla, Kanwalvir Singh Dhindsa
10.5120/16236-5759

Ashma Chawla, Kanwalvir Singh Dhindsa . Implementation of Association Rule Mining using Reverse Apriori Algorithmic Approach. International Journal of Computer Applications. 93, 8 ( May 2014), 24-28. DOI=10.5120/16236-5759

@article{ 10.5120/16236-5759,
author = { Ashma Chawla, Kanwalvir Singh Dhindsa },
title = { Implementation of Association Rule Mining using Reverse Apriori Algorithmic Approach },
journal = { International Journal of Computer Applications },
issue_date = { May 2014 },
volume = { 93 },
number = { 8 },
month = { May },
year = { 2014 },
issn = { 0975-8887 },
pages = { 24-28 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume93/number8/16236-5759/ },
doi = { 10.5120/16236-5759 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:15:17.291366+05:30
%A Ashma Chawla
%A Kanwalvir Singh Dhindsa
%T Implementation of Association Rule Mining using Reverse Apriori Algorithmic Approach
%J International Journal of Computer Applications
%@ 0975-8887
%V 93
%N 8
%P 24-28
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Association rule mining is always considered to be the most important task for mining data in almost every field. There have been many algorithms devised for mining frequent patterns till today. Algorithm evolutions started with AIS which was soon upgraded and named as Apriori. Apriori is most widely used algorithm in terms of data mining. In this paper an improved approach to Apriori termed as reverse Apriori is proposed and the results are compared with the classical approach.

References
  1. Kumar, B. S. and Rukmani, K. V. , 2010, "Implementation of Web Usage Mining Using APRIORI and FP Growth Algorithms" International Journal of Advanced Networking and Applications, Vol. 1, Issue 6, pp. 400-404.
  2. Sharma, P. and Bhartiya, R. , 2011, "An efficient Algorithm for Improved Web Usage Mining" International Journal of Computer Technology & Applications, Vol. 3, No. 2, pp. 766-769.
  3. Martinez-Romo, J. and Araujo, L. , 2010, "Analyzing Information Retrieval Methods to Recover Broken Web Links", In Proceedings of the 32nd European Conference on Information Retrieval, ECIR 2010, Milton Keynes, UK, pp. 26-37.
  4. Dohare, M. P. S. , Arya, P. and Bajpai A. , 2012, "Novel Web Usage Mining for Web Mining Techniques" International Journal of Emerging Technology and Advanced Engineering, vol. 2, Issue 1, pp. 253-262.
  5. Das, R. , Turkoglu, I. and Poyraz, M. , 2007, "Analyzing of System Errors for increasing a web server performance by using web usage mining", Journal of electrical & electronics engineering, Vol. 7, No. 2, pp. 379 – 386.
  6. Fayyad, U. M. , Piatetsky-Shapiro, G. and Smyth, P. , 1996, "The KDD Process for Extracting Useful Knowledge from Volumes of Data", Communications of the ACM, Vol. 39, No. 11, pp. 27-34.
  7. Das, R. , Turkoglu, I. and Poyraz, M. , 2007, "Analyzing of System Errors for increasing a web server performance by using web usage mining", Journal of electrical & electronics engineering, Vol. 7, No. 2, pp. 379 – 386.
  8. Brachman, R. J. , Anand, T. , 1996, "The Process of Knowledge Discovery in Databases", Advances in Knowledge Discovery & Data Mining, Fayyad, U. M. - Piatetsky-Shapiro, G. , Smyth, P. , Uthurusamy, R. , Eds. AAAI/MIT Press, Cambridge, Massachusetts, pp. 37-57.
Index Terms

Computer Science
Information Sciences

Keywords

Data Mining Frequent Pattern Matching Apriori Algorithm.