An Increment Method of Data Mining for Trend Analysis

In the paper, a new increment method of data mining is presented. Based on encoding the transaction data item set, the original data is transformed into a integral variable series is proved to be a Markov chain in theory. And instead of transfer probability, frequency is used in transfer probability matrix. Then a module is built for trend analysis.The analysis for the sale data of supermarket indicates that the method is fine, and a nice result that customs choice is same to different bland of one product is received.