Decision Rule Induction for Service Sector Using Data Mining - A Rough Set Theory Approach
Abstract
Nowadays, data mining is more widely used than ever before; not only by the academic area, but also in the industry and business area. Apart from execution of business processes, the creation of knowledge base and its utilization for the benefit of the organization is becoming a strategy tool to compete. Despite of having ever growing data bases, the problem is that the finance company fails to fully capitalize the true benefits which can be gained from this great wealth of information. The data mining technology instead of classic statistical analysis is developed to help the people to discover the knowledge inside of the data. In this thesis, a rule-based Rough Set decision system is described to make analysis and prediction for the commercial opportunity in the banking sector.
Subject Area
Industrial engineering|Computer science
Recommended Citation
Hu, Zhonghua, "Decision Rule Induction for Service Sector Using Data Mining - A Rough Set Theory Approach" (2012). ETD Collection for University of Texas, El Paso. AAI1533230.
https://scholarworks.utep.edu/dissertations/AAI1533230