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An integrated model for financial data mining

Authors: 

F Cai, N A Lekhac, Tahar Kechadi

Publication Type: 
Refereed Conference Meeting Proceeding
Abstract: 
Nowadays, financial data analysis is becoming increasingly important in the business market. As companies collect more and more data from daily operations, they expect to extract useful knowledge from existing collected data to help make reasonable decisions for new customer requests, e.g. user credit category, churn analysis, real estate analysis, etc. Financial institutes have applied different data mining techniques to enhance their business performance. However, simple approach of these techniques could raise a performance issue. Besides, there are very few general models for both understanding and forecasting different financial fields. We present in this paper a new classification model for analyzing financial data. We also evaluate this model with different realworld data to show its performance
Conference Name: 
International Workshop on Multi-disciplinary Trends in Artificial Intelligence
Digital Object Identifer (DOI): 
10.1007/978-3-642-35455-7_28
Publication Date: 
01/01/2012
Institution: 
National University of Ireland, Dublin (UCD)
Open access repository: 
No