RULE-BASED OUTLIER MINING APPROACH IN CATEGORICAL DATA

Outlier mining is an important part of data mining. Existing outlier mining approaches lack valid processing for categorical data. A kind of rule based outlier mining approach in categorical data is introduced, which can solve the problem effectively. Some experiments have been done on epidemiology data in this method. The range of application and performance of this approach are analyzed, and it is found that if rule based outlier mining approach in categorical data is applicable in other continuous data after being discreted, good results can also be obtained.