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Implementation of Apriori Algorithm on Electricity Billing System

by Vipin Saxena, Sudhir Kumar Singh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 86 - Number 2
Year of Publication: 2014
Authors: Vipin Saxena, Sudhir Kumar Singh
10.5120/14960-3135

Vipin Saxena, Sudhir Kumar Singh . Implementation of Apriori Algorithm on Electricity Billing System. International Journal of Computer Applications. 86, 2 ( January 2014), 30-34. DOI=10.5120/14960-3135

@article{ 10.5120/14960-3135,
author = { Vipin Saxena, Sudhir Kumar Singh },
title = { Implementation of Apriori Algorithm on Electricity Billing System },
journal = { International Journal of Computer Applications },
issue_date = { January 2014 },
volume = { 86 },
number = { 2 },
month = { January },
year = { 2014 },
issn = { 0975-8887 },
pages = { 30-34 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume86/number2/14960-3135/ },
doi = { 10.5120/14960-3135 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:03:12.423344+05:30
%A Vipin Saxena
%A Sudhir Kumar Singh
%T Implementation of Apriori Algorithm on Electricity Billing System
%J International Journal of Computer Applications
%@ 0975-8887
%V 86
%N 2
%P 30-34
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The relationships among the classes play an important role for the selection of the object-oriented database. In this context, association rules show the relationship between the two classes. As the object-oriented design for the development of the software grows, the relationships among the classes also grow towards the complex software design but one can develop optimize object-oriented design through right association rules between classes. The present paper deals to design the right association rules for the object-oriented databases taken from the classes. A real case study of Electricity Bill Deposit System (EBDS) is considered in Indian scenario and Apriori algorithm is used for finding the use of frequent data sets through the right association rules. The association rules are designed through well-known Unified Modeling Language (UML). The present work is an implementation of Apriori algorithm towards the database of EBDS.

References
  1. Agrawal, R. , Imielinski, T. , Swami, A. , "Mining Association Rules Between Sets of Items in Large Databases", SIGMOD, Page 207-216, 1993.
  2. Sergey, B. , Motwani, R. , Jeffrey D. , Shalom, T. , "Dynamic Itemset Counting and Implication Rules for Market Basket Data", International Conference proceedings ACM SIGMOD, Page No 255-264, May 13-15, 1997. .
  3. Cai, C. H. , Fu, A. W. C. , Cheng, C. H. , Kwong, W. W. , "Mining Association Rules with Weighted Items", International Proceedings. IDEAS'98 Database Engineering and Applications Symposium, Page No 68–77, 1998.
  4. Dunkel, B. , Soparkar , N. , "Data organization and access for efficient data mining ",15th International Conference on Data Engineering Proceeding ,Page No 522-529,23-26 Mar 1999.
  5. Walter A. Kosters, Elena Marchiori, and A. J. Oerlemans, "Mining Clusters with Association Rules", Proceedings of Symposium on Advances in Intelligent Data Analysis, ISBN 3-540-66332-0 IN 1999.
  6. Burdick, D. , Calimlim , M. , Flannick, J. , Gehrke, J. , Yiu , T. , "MAFIA: A Maximal Frequent Itemset Algorithm," IEEE Transactions on Knowledge and Data Engineering, vol. 17, no. 11, pp. 1490-1504, Nov. 2005.
  7. Chai, S. , "The Research of Improved Apriori Algorithm for Mining Association Rules", This Paper Published in Service Systems and Service Management International Conference, Page 1-4, June 2007.
  8. Taboada, k. , "Association rules mining for handling continuous attributes using genetic network programming and fuzzy membership functions", This Paper Presented in IEEE, Page 2723-2729, 2007.
  9. Weng, C. C. , Chen, T. S. , Lo, C. H. , "A Novel Algorithm for Completely Hiding Sensitive Association Rules", IEEE, Page 202-208, 2008.
  10. Tan, Ping-Ning, Steinbach, Michael, Kumar, Vipin, "Introduction to Data Mining", Pearson Education, ISBN 978-81-317-1472-0, Fourth Edition, 2009.
  11. Umarani, V. , "On developing an effectual progressive sampling based approach for association rule discovery" This Paper Published in Information Management and Engineering (ICIME), Page No 8-12, 2010.
  12. Verma, G. , "An Effectual Algorithm for Frequent Itemsets Generation in Generalized Data Set Using Parallel Mesh Transposition" This Paper Presenting in IEEE, Page 719-724, 2012.
  13. He, B. , Hsiao ,I . H. , Liu, Z. , Huang, Y. , Chen, Y. , "Efficient iceberg Query Evaluation Using Compressed Bitmap Index ", This Paper Appear in IEEE, Page 1570-1583, 2012.
Index Terms

Computer Science
Information Sciences

Keywords

UML Apriori Algorithm Lattice Structure Association Rules Data Item Sets.

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