Study Of Data Mining Method Based On Rough Set Theory

Recently, Data Mining method based on Rough Set theory has become one of main Data Mining method, This article is based on contrasting several generally attribute reduction algorithms, considers many things about incompatibility decision-making table in practicality application, makes detailed analysis and improvement on the shortage of general binary discriminating matrix algorithms of data mining ; when delete some attribute of some record , If there is no repeated record in residual information table ,do further discussing on it .This method is called reduction of general data. Do improvement on this method, Further simplify the final reduction data. Finally, it gives a process of algorithms of data mining based on rough set theory, and a practical example is given to illustrate the proposed algorithm and verifies its rightness.