Title :
Association rule analysis using biogeography based optimization
Author :
Bhugra, D. ; Singhania, V. ; Goel, Shivani
Author_Institution :
Tata Consultancy Services, TCS, Gurgaon, India
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;
Conference_Titel :
Computer Communication and Informatics (ICCCI), 2013 International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4673-2906-4
DOI :
10.1109/ICCCI.2013.6466106
