Open Access   Article Go Back

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.

View this paper at   Google Scholar | DPI Digital Library

XML View
PDF Download

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS Citation

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 -

VIEWS PDF XML
3538 3353 downloads 3652 downloads
  
  
           

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

[1]. Samet Cokpınar, Taflan _Imre Gundem �Positive and negative association rule mining on XML data streams in database as a service concept �, ELESVIER 39 ,page no(7503�7511) ,Jan 2012.
[2]. Rakesh Agrawal and Ramakrishnan Srikant, �Fast algorithms for mining association rules�, 20th VLDB Conference Santigo Chile ,page no(487-499), Sep 1994.
[3]. Jiawei Han, Jian Pei, Yiwen Yin ,�Mining Frequent Patterns without Candidate Generation� ACM SIGMOD International onference on Management of Data, Dallas, Texas, United States.
[4]. Younghee Kim, Wonyoung Kim and Ungmo Kim, �Mining Frequent Itemsets with Normalized Weight in Continuous Data Streams�, Journal of Information Processing Systems, Vol.6, No.1, page no (79-90) , March 2010.
[5]. Unil Yun and John J. Leggett, �WFIM: Weighted Frequent Itemset Mining with a weight range and a minimum weight� ,SIAM, page no (636-640).
[6]. V.Vidya �Mining Weighted Association Rule using FP � tree�, IJCSE , Vol. 5 No. 08,page no (741-752), Aug 2013
[7]. Raorane A.A. Kulkarni R.V. and Jitkar B.D, �Association Rule � Extracting Knowledge Using Market Basket Analysis� , Research Journal of Recent Sciences,Vol. 1(2), page no(19-27), Feb. 2012.
[8]. Yongmei Liu and Yong Guan, �FP-Growth Algorithm for Application in Research of Market Basket Analysis �,IEEE International Conference on Computational Cybernetics, page no(269�272), Nov 2008.
[9]. Chit Nilar Win, Khin Haymar Saw Hla ,� Mining frequent patterns from XML data�, APSITT, page no (208�212), 2005.

[10]. Ozan �nay Taflan !.G�ndem �A Survey on Querying Encrypted XML Documents for Databases as a Service� SIGMOD Record, Vol. 37, No. 1,page no(12-20),March 2008 .
[11]. Xindong WU,Chengqi Zhang and Shichao Zhang,� Efficient Mining of both Positive and Negative Association Rules�, ACM Transaction on Intenational System,Vol 22 No 3, page no(381-405), July 2004.
[12]. Sun Zhaoyun,Zhang Xiaobo,Zhao Li , �The Web Asynchronous Communication Mechanism Research Based on Ajax� , 2nd international Conference on Education Technology and Computer (ICETC), Vol 3, page no(370-372), 201 0.
[13]. Supratik Mukhopadhyay, Ramesh Bharadwaj, Hasan Davulcu, �Functional �AJAX� in Secure Synchronous Programming�, Proceedings of the 44th Hawaii International Conference on System Sciences, IEEE , 2011.
[14]. Wang Jing and XU Feng , �The Research of Ajax Technique Application Based on the J2EE�, Foundation project: The Design of the System for Zhanjiang Meteorological Forecast (0910262), IEEE, 2010.