DOI:10.20894/IJDMTA.
Periodicity: Bi Annual.
Impact Factor:
SJIF:4.893 & GIF:0.787
Submission:Any Time
Publisher: IIR Groups
Language: English
Review Process:
Double Blinded

News and Updates

Author can submit their paper through online submission. Click here

Paper Submission -> Blind Peer Review Process -> Acceptance -> Publication.

On an average time is 3 to 5 days from submission to first decision of manuscripts.

Double blind review and Plagiarism report ensure the originality

IJDMTA provides online manuscript tracking system.

Every issue of Journal of IJDMTA is available online from volume 1 issue 1 to the latest published issue with month and year.

Paper Submission:
Any Time
Review process:
One to Two week
Journal Publication:
June / December

IJDMTA special issue invites the papers from the NATIONAL CONFERENCE, INTERNATIONAL CONFERENCE, SEMINAR conducted by colleges, university, etc. The Group of paper will accept with some concession and will publish in IJDMTA website. For complete procedure, contact us at admin@iirgroups.org

Paper Template
Copyright Form
Subscription Form
web counter
web counter
Published in:   Vol. 3 Issue 2 Date of Publication:   December 2014

A Framework to Discover Association Rules Using Frequent Pattern Mining

Shajeeah. M,Safana. N, FathimathRajeela. K.A., Kadeejath Sajida

Page(s):   64- 68 ISSN:   2278-2397
DOI:   10.20894/IJDMTA.102.003.002.005 Publisher:   Integrated Intelligent Research (IIR)


  1. Sotiris Kotsiantis, and Dimitris Kanellopoulos,   "Association Rule Mining: A Recent Overview",   GESTS International Transaction on Computer Scienc   ,Vol.32   ,Issue 1   ,2006
    View Artical

  2. Hipp, Jochen, Ulrich G?ntzer, and Gholamreza Nakhaeizadeh,   "Algorithms for association rule mining?a general survey and comparison",   ACM sigkdd explorations newsletter   ,Vol.2   ,Issue 1   ,2000
    View Artical

  3. A.A. Raorane, R.V. Kulkarni, and B.D. Jitkar,   "Association rule-Extracting knowledge using market basket analysis",   Research Journal of Recent Sciences   ,Vol.1   ,Issue 12   ,2012
    View Artical

  4. Jiawei Han and Micheline Kamber,   "Data Mining Concepts and Techniques",   2nd ed, Morgan Kaufmann Publishers   ,2006
    View Artical

  5. H. M Najadat, M. Al-Maolegi, B. Arkok,   "An improved apriori algorithm for association rules",   International Research Journal of Computer Science   ,2013
    View Artical

  6. R. Agrawal, T. Imielinski, and A. Swami,   "Mining association rules between sets of items in large databases",   in Proc. ACM SIGMOID Record   ,Vol.22   ,1993
    View Artical

  7. Hanirex, D. Kerana, and M. A. Rangaswamy,   "Efficient Algorithm for Mining Frequent Itemsets using clustering techniques",   International Journal on Computer Science & Engine   ,Vol.3   ,Issue 3   ,2011
    View Artical

  8. F. Berzal, J. C. Cubero, N. Marin, J. N. Serano, TBAR,   "An efficient method for association rulemining in relational database",   Elsevier Data and Knowledge Engineering   ,2001
    View Artical

  9. B. S. Kumar, K.V Rukmani,   "Implementation of web usage mining using Apriori and FP growth algorithms",   International. Journal. of Advanced Networking and   ,Vol.1   ,Issue 6   ,2010
    View Artical

  10. Wur, Suh-Ying, and Yungho Leu,   "An effective Boolean algorithm for mining association rules in large databases",   In Database Systems for Advanced Applications, 199   ,1999
    View Artical