Data Preprocessing Method Based on Data Mining for Rating Data Set

Audience rating is an important parameter that scales TV programs' quality,but rating surveying data of low quality lead to much inaccurate on calculating audience rating.To solve the data problem of TV audience rating based on data mining,the preprocessing technologies of surveying data are discussed,which involve the sorting out of original data,data cleaning,data transformation、data reduction technologies and fuzzy set theory.Experimental results indicate that knowledge from preprocessed audience rating database be can gotten,provided powerful support for applying audience rating.