CFP last date
22 April 2024
Reseach Article

A Survey on Association Rule Mining using Apriori Algorithm

by K.saravana Kumar, R.manicka Chezian
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 45 - Number 5
Year of Publication: 2012
Authors: K.saravana Kumar, R.manicka Chezian
10.5120/6780-9079

K.saravana Kumar, R.manicka Chezian . A Survey on Association Rule Mining using Apriori Algorithm. International Journal of Computer Applications. 45, 5 ( May 2012), 47-50. DOI=10.5120/6780-9079

@article{ 10.5120/6780-9079,
author = { K.saravana Kumar, R.manicka Chezian },
title = { A Survey on Association Rule Mining using Apriori Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { May 2012 },
volume = { 45 },
number = { 5 },
month = { May },
year = { 2012 },
issn = { 0975-8887 },
pages = { 47-50 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume45/number5/6780-9079/ },
doi = { 10.5120/6780-9079 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:36:51.044221+05:30
%A K.saravana Kumar
%A R.manicka Chezian
%T A Survey on Association Rule Mining using Apriori Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 45
%N 5
%P 47-50
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Association rule mining is the most important technique in the field of data mining. It aims at extracting interesting correlation, frequent pattern, association or casual structure among set of item in the transaction database or other data repositories. Association rule mining is used in various areas for example Banking, department stores etc. The paper surveys the most recent existing association rule mining techniques using apriori algorithm.

References
  1. S. Appavu alias Balamurugan, Aravind , Athiapppan, Barathiraja, Muthu Pandian and Dr. R. Rajaram," Association rule mining for suspicious Email detection:A data mining approach" l1-4244-1l330-3/07/$25. OO 02007 IEEE.
  2. Cornelia Gy?rödi, Robert Gy?rödi, T. Cofeey & S. Holban – "Mining association rules using Dynamic FP-trees" – în proceedings of The Irish Signal and Systems Conference, University of Limerick, Limerick, Ireland, 30th June-2nd July 2003, ISBN 0-9542973-1-8, pag. 76-82.
  3. Badri patel ,Vijay K Chaudahri,Rajneesh K Karan,YK Rana --"Optimization of association rule mining apriori algorithm using Ant Conoly optimization" International Journal of Soft Computing and Engineering (IJSCE) ISSN: 2231-2307, Volume-1, Issue-1, March 2011
  4. Rahman AliMohammadzadeh, Sadegh Aoltan, Masoud Rahgozar –"Template Guided Association Rule Mining from XML Documents" WWW 2006, May 23–26, 2006, Edinburgh, Scotland. ACM 1-59593-323-9/06/0005.
  5. Nattapon Pannurat, Nittaya Kerdprasop, Kittisak Kerdprasop –"Database Reverse Engineering based on Association Rule Mining" IJCSI International Journal of Computer Science Issues, Vol. 7, Issue 2, No 3, March 2010 ISSN (Online): 1694-0784ISSN (Print): 1694-0814
  6. Iko Pramudiono and masaru Kitsuregawa - "FP-tax :Tree structure Generalized Association Rule Mining" DMKD '04, June 13, 2004, Paris, France Copyright 2004 ACM ISBN 158113908X/04/06 . . . $5. 00.
  7. Mamta Dhanda, sonali Guglani and gaurav gupta –"Mining Efficient Association Rules through Apriori Algorithm Using Attributes" IJCST Vol. 2, Issue 3, September 2011 I S S N : 2 2 2 9 - 4 3 3 3 ( P r i n t ) | I S S N : 0 9 7 6 - 8 4 9 1 (On l i n e )
  8. J. Han, M. Kamber, "Data Mining Concepts and Techniques", Morgan Kaufmann Publishers, San Francisco, USA, 2001, ISBN 1558604898.
  9. L. Cristofor, "Mining Rules in Single-Table and Multiple-Table Databases",PhD thesis, University of Massachusetts, 2002.
  10. Ashoka Savasere, Edward Omiencinski, and Shamkant B. Navathe. "AnEfficient Algorithm for Mining Association Rules in Large Databases. " InProceedings of the 21st International Conference on Very Large Databases, pag432 - 444, 1995.
  11. Cornelia Gy?rödi, Robert Gy?rödi, T. Cofeey & S. Holban – "Mining association rules using Dynamic FP-trees" – în Proceedings of The Irish Signaland Systems Conference, University of Limerick, Limerick, Ireland, 30th June-2nd July 2003, ISBN 0-9542973-1-8, pag. 76-82.
Index Terms

Computer Science
Information Sciences

Keywords

Association Rule Mining Ant Colony Optimization E-mail Detection Database Reverse Engineering.