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A Survey of Mining Association Rule Techniques

M. Sumitha1 , P.S. Suganya2

Section:Survey Paper, Product Type: Journal Paper
Volume-06 , Issue-11 , Page no. 168-173, Dec-2018

Online published on Dec 31, 2018

Copyright © M. Sumitha, P.S. Suganya . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: M. Sumitha, P.S. Suganya, “A Survey of Mining Association Rule Techniques,” International Journal of Computer Sciences and Engineering, Vol.06, Issue.11, pp.168-173, 2018.

MLA Style Citation: M. Sumitha, P.S. Suganya "A Survey of Mining Association Rule Techniques." International Journal of Computer Sciences and Engineering 06.11 (2018): 168-173.

APA Style Citation: M. Sumitha, P.S. Suganya, (2018). A Survey of Mining Association Rule Techniques. International Journal of Computer Sciences and Engineering, 06(11), 168-173.

BibTex Style Citation:
@article{Sumitha_2018,
author = {M. Sumitha, P.S. Suganya},
title = {A Survey of Mining Association Rule Techniques},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {12 2018},
volume = {06},
Issue = {11},
month = {12},
year = {2018},
issn = {2347-2693},
pages = {168-173},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=565},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=565
TI - A Survey of Mining Association Rule Techniques
T2 - International Journal of Computer Sciences and Engineering
AU - M. Sumitha, P.S. Suganya
PY - 2018
DA - 2018/12/31
PB - IJCSE, Indore, INDIA
SP - 168-173
IS - 11
VL - 06
SN - 2347-2693
ER -

           

Abstract

Association rule is a data mining techniques which is used to mine several algorithms of applying association rules from the given databases. One of the most important algorithm is Apriori that is used to extract frequent itemsets from large database and association rules are help to discovering the knowledge. Association rules are if/then statements that help uncover relationships between unrelated data in a relational database or other information repository. In this paper we mention different techniques for mining association rules from relational databases and their usage in different areas.

Key-Words / Index Term

Data mining, Apriori algorithm, Database, Association rules

References

[1] S.Mihika, N.Sindhu. “A Survey of Data Mining Clustering Algorithms”International Journal of Computer Applications (0975 – 8887) Volume 128 – No.1, October 2015.
[2] K.Jagmeet, M.Neena.“AssociationRuleMining: A Survey” International Journal of Hybrid Information Technology Vol.8, No.7 239-242, 2015.
[3] C. Ila, A. Mari Kirthima. “A Survey on Association Rule Mining Algorithms” International Journal of Mathematics and Computer Research [Volume 1 issue 10, 270-272, 2013.
[4] A. Rajak and M. K. Gupta. “Association Rule Mining:Applications in Various Areas”, International Conference on Data Management.
[5] S.Sonia, Dr. Jyoti. “Multi-Level Association Rule Mining: A Review” International Journal of Computer Trends and Technology (IJCTT) – Volume 6 no.3, 2013.
[6] EvgueniSmirnov“AssociationRule”vhttps://project.dke.maastrichtuniversity.nl/datamining/2013-Slides/lecture-06.ppt.
[7] G.Savi,M.Roopal. “A Survey on Association Rule Mining in Market Basket Analysis” International Journal of Information and Computation Technology. Volume 4, Number 4, pp. 409-414, 2014.
[8] M. Renuka Devi, A. Baby sarojini. “Applications of Association Rule Mining in different databases” Journal of Global Research in Computer science, Volume 3, No. 8, 2012.
[9] M. Donato, Francesca A. Lisi, A. Annalisa, S. Francesco. “Mining Spatial Association Rules in Census Data: A Relational Approach”
[10] M. Abdul Fattah, Mohammed M. Fouad, Philip S.Yu, Tarek F. Gharib “Discovery of Association rules from University admission System data” I.J. Modern Education and Computer Science, 2013, 4, 1-7, 2013.
[11] M.E. Anuradha Bhatia. Computer Engineering, “Big Data Analytics-Apriori Algorithm” http://www.anuradhabhatia.com.
[12] Apriori algorithm” https://www.slideshare.net/INSOFE/ apriori-algorithm-36054672.
[13] J. Omana, S. Monika, B. Deepika. “Survey on efficiency of Association Rule Mining Techniques” International Journal of
Computer Science and Mobile Computing IJCSMC, Vol. 6, Issue. 4, 5–8, 2017.
[14] “Mining Association Rules in large database” http://www1.pu.edu.tw/~ytwang/docs/DM/ Assoc1.ppt.
[15] “Rule based data mining” https://www.tutorialspoint.com/data mining/dm_rbc.htm.
[16] H. Jiawei, K. Michrine, P. Jian. “Data Mining Concepts and Techniques.
[17] “Decisiontreeinduction” https://www.researchgate.net>publication.