CFP last date
01 January 2025
Call for Paper
February Edition
CAE solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 01 January 2025

Submit your paper
Know more
The week's pick
Responsive image
Property (Land) Registration Management Using Blockchain in Nigeria

A. Festus Osuolale Ojebiyi David-Daniel Seriki Oluwasogo
Random Articles
Reseach Article

A Proposed Method to Select Potential Item Set for High Utility Item Set Mining using Genetic Algorithm Techniques

by Pradeep Sharma, Ruchika Pachori, RajLaxmi Garg
journal cover thumbnail

Communications on Applied Electronics
Foundation of Computer Science (FCS), NY, USA
Volume 6 - Number 8
Year of Publication: 2017
Authors: Pradeep Sharma, Ruchika Pachori, RajLaxmi Garg
10.5120/cae2017652542

Pradeep Sharma, Ruchika Pachori, RajLaxmi Garg . A Proposed Method to Select Potential Item Set for High Utility Item Set Mining using Genetic Algorithm Techniques. Communications on Applied Electronics. 6, 8 ( Mar 2017), 35-40. DOI=10.5120/cae2017652542

@article{ 10.5120/cae2017652542,
author = { Pradeep Sharma, Ruchika Pachori, RajLaxmi Garg },
title = { A Proposed Method to Select Potential Item Set for High Utility Item Set Mining using Genetic Algorithm Techniques },
journal = { Communications on Applied Electronics },
issue_date = { Mar 2017 },
volume = { 6 },
number = { 8 },
month = { Mar },
year = { 2017 },
issn = { 2394-4714 },
pages = { 35-40 },
numpages = {9},
url = { https://www.caeaccess.org/archives/volume6/number8/715-2017652542/ },
doi = { 10.5120/cae2017652542 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-09-04T19:56:58.918520+05:30
%A Pradeep Sharma
%A Ruchika Pachori
%A RajLaxmi Garg
%T A Proposed Method to Select Potential Item Set for High Utility Item Set Mining using Genetic Algorithm Techniques
%J Communications on Applied Electronics
%@ 2394-4714
%V 6
%N 8
%P 35-40
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Utility mining is a technique to prune high utility itemset from the given transactional database on the basis of user-defined minimum utility threshold. Frequent itemset mining, only focus on itemset appear most frequently in the database while in utility mining we concern about utility i.e. importance or profit of itemset according to the user preference. In this paper we are proposing a two-phase algorithm, in the first phase, we are using weighted transaction utility concept to calculate and compare the utility of itemset with minimum utility threshold and then in the second phase, we are proposing genetic algorithm technique to search high utility itemset from the recognized transactional database obtain after the first phase.

References
  1. S. Kannimuthu, Dr. K .Premalatha, Discovery of High Utility Itemsets Using Genetic Algorithm, International Journal of Engineering and Technology (IJET), Vol 5 No 6 Dec 2013-Jan 2014.
  2. VincentS. Tseng, Cheng-Wei Wu, Bai-En Shie, and PhilipS.Yu.UP-Growth: An Efficient Algorithm for High Utility Itemset Mining. InKDD’10, July25–28, 2010, Washington, DC, USA.2010ACM.
  3. Pradeepk. Sharma, Abhishe k Raghuvanshi, An Efficient Methodfor Mining High Utility Data fromaDataSet, in International Journal of Advanced Research in Computer Science and Software Engineering, Volume3, Issue11, November2013.
  4. R.Agrawal and R.Srikant.Fast algorithms for mining association rules.InProc.ofthe20thInt'lConf.onVery Large Data Bases, pp.487-499, 1994.
  5. J.Han,J.Pei,andY.Yin .Mining frequent patterns without candidate generation.InProc.of the ACM-SIGMOD Int'l Conf. on Management of Data, pp.1-12,2000.
  6. H.Yao,H.J.Hamilton,L.Geng, A unified framework for utility-based measures for mining itemsets. In Proc.of ACM SIGKDD 2nd Workshop on Utility-Based Data Mining, pp.28-37, USA,Aug., 2006.
  7. Y.Liu, W.Liao, and A.Choudhary.A fast high utility itemsets mining algorithm. InProc. ofthe Utility-Based Data Mining Workshop,2005.
  8. Y.-C.Li,J.-S.Yeh,andC.-C.Chang.isolated items discarding strategy for discovering high utility itemsets, In Data &Knowledge Engineering, Vol. 64,Issue1, pp.198-217, Jan., 2008.
  9. C.F.Ahmed,S.K.Tanbeer,B.-S.Jeong,andY.-K.Lee.Efficient tree structures for high utility pattern mining in incremental databases.In IEEE Transactionson Knowledge and Data Engineering,Vol.21, Issue12, pp.1708-1721, 2009.
  10. Yu-Chiang Li, Jieh-Shan Yeh and Chin-Chen Chang, "Isolated items discarding strategy for discovering high utility itemsets", Data and Knowledge Engineering, Elsevier Journal, Vol. 64, pp. 198-217, 2008.[10] Yu-Chiang Li, Jieh-Shan Yeh and Chin-Chen Chang, "Isolated items discarding strategy for discovering high utility itemsets", Data and Knowledge Engineering, Elsevier Journal, Vol. 64, pp. 198-217, 2008.
Index Terms

Computer Science
Information Sciences

Keywords

Data Mining Weighted Transaction Utility Utility Mining Genetic Algorithm.

Powered by PhDFocusTM