Data Mining Algorithm for the Electric Power System Based on the Improved Rough Set Theory
Zhenhe Sun · Techniques of Automation and Applications · 2009
The data of the electric power system is multi-level,random,and also may be incomplete.This paper presents a data mining method which combines the rough set theory with the Naive Bayesian classification.The minimum attribute reduction set is first extracted by using the rough set method,then the biggest area where the possible fault may come up is diagnosed with the naive Bayesian classification method.An application example is also presented.