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Authors
Affiliations
1 Department of Computer Science & Systems Engineering, College of Engineering, Andhra University, Visakhapatnam - 530 003, IN
2 Department of Computer Science, GITAM University, Visakhapatnam - 530 013, IN
3 Sadineni Chowdaraiah College of Atrs and Science, Maddirala, Chilakaluripet - 522 611, IN
Source
Oriental Journal of Computer Science and Technology, Vol 2, No 1 (2009), Pagination: 95-99
Abstract
This paper aims at constructing the customer data warehouse which adopts an improved ID3 decision tree algorithm to implement data mining in order to predict the risk class of the customer. The obtained results are compared with experimental results in order to verify the validity and accuracy of the developed model.
Keywords
Decision Tree, ID3, Classification, Association Rules.
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