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A Survey on Enhancing Data Processing of Positive and Negative Association Rule Mining

V. Kavi1 , D. Joshi2

Section:Survey Paper, Product Type: Journal Paper
Volume-2 , Issue-3 , Page no. 139-143, Mar-2014

Online published on Mar 30, 2014

Copyright © V. Kavi, D. Joshi . 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: V. Kavi, D. Joshi , “A Survey on Enhancing Data Processing of Positive and Negative Association Rule Mining,” International Journal of Computer Sciences and Engineering, Vol.2, Issue.3, pp.139-143, 2014.

MLA Style Citation: V. Kavi, D. Joshi "A Survey on Enhancing Data Processing of Positive and Negative Association Rule Mining." International Journal of Computer Sciences and Engineering 2.3 (2014): 139-143.

APA Style Citation: V. Kavi, D. Joshi , (2014). A Survey on Enhancing Data Processing of Positive and Negative Association Rule Mining. International Journal of Computer Sciences and Engineering, 2(3), 139-143.

BibTex Style Citation:
@article{Kavi_2014,
author = {V. Kavi, D. Joshi },
title = {A Survey on Enhancing Data Processing of Positive and Negative Association Rule Mining},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {3 2014},
volume = {2},
Issue = {3},
month = {3},
year = {2014},
issn = {2347-2693},
pages = {139-143},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=85},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=85
TI - A Survey on Enhancing Data Processing of Positive and Negative Association Rule Mining
T2 - International Journal of Computer Sciences and Engineering
AU - V. Kavi, D. Joshi
PY - 2014
DA - 2014/03/30
PB - IJCSE, Indore, INDIA
SP - 139-143
IS - 3
VL - 2
SN - 2347-2693
ER -

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Abstract

Importance of data mining has been increased rapidly for business domains like marketing, financing and telecommunications. The business organizations urgent need to discover the valuable information and knowledge from the huge data. We can analyze a customer�s purchasing habit or their interests of buying items in market basket analysis. This kind of discovery may help in developing the better marketing strategies. Depending on this strategy this survey paper is based on developing fast processing recommendation engine which suggests the customers for purchasing the needed commodities with the main item. This survey paper focuses on different important association rule mining algorithms like Apriori, FP-Growth and Weighted FP-Growth and on enhancing the processing speed of positive and negative associations rule mining.

Key-Words / Index Term

Data Mining, Data Processing, Outsource Services, Market basket analysis, Ajax Technique

References

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