Acquiring Conductive Knowledge Based on Transformation of Different Objects and Different Characteristics in Practical Applications

In extension data mining the definition of conduct information element sets is based on the strict mathematics theory. Existing change in the value of characteristics of information element sets is to be conduct information element sets. But in practical applications of the database, many of the value of the characteristics of the statistics are based on a period of time. It is inevitable that there is small fluctuation in the value of characteristics. If the small fluctuations is to a certain extent, we think that the characteristics value has not changed in practical engineering applications. It is a non-conductive information element. Based on the engineering environment we gives theory and steps of conduct information element sets and conduct knowledge extracting based on transformation of different objects and different characteristics.