Association rule analysis using biogeography based optimization

Author

Bhugra, D. ; Singhania, V. ; Goel, Shivani

Author_Institution

Tata Consultancy Services, TCS, Gurgaon, India

fYear

2013

fDate

4-6 Jan. 2013

Firstpage

1

Lastpage

5

Abstract

In recent years, data mining has become a global research area for acquiring interesting relationships hidden in large data sets. Data Mining has been used in various application domains such as market basket data, bioinformatics, medical diagnosis, web mining and scientific data analysis. In this paper, we have tried to optimize the rules generated by Association Rule Mining using Biogeography Based Optimization(BBO). BBO has a way of sharing information between solutions depending on the migration mechanisms. The motivation of this paper is to use the feature of BBO for finding more accurate results.

Keywords

bioinformatics; data analysis; data mining; geography; optimisation; BBO; Web mining; association rule analysis; biogeography based optimization; bioinformatics; data mining; global research area; market basket data; medical diagnosis; migration mechanisms; scientific data analysis; Association rules; Biogeography; Computers; Informatics; Itemsets; Optimization; Association Rule Mining; Biogeography Based Optimization; Data Mining;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Communication and Informatics (ICCCI), 2013 International Conference on

Conference_Location

Coimbatore

Print_ISBN

978-1-4673-2906-4

Type

conf

DOI

10.1109/ICCCI.2013.6466106

Filename

6466106