We are obtaining a large database of some objects’ records of fluctuations of a stock market,medical treatments,changes of weather in certain area and so on,where each record consists of multi-attributes taking multi-values changing with time. Our work is motivated by prediction,which is different from the work in 4,5,8,11. We want to help learn from past data and make informed decisions for the future. This paper is very significant to perfect the theory and the development of the temporal data mining. We are obtaining a large database of some objects’ records of fluctuations of a stock market, medical treatments, changes of weather in certain area and so on, where each record consists of multi-attributes taking multi-values ​​changing with time. motivated by prediction, which is different from the work in 4,5,8,11. We want to help learn from past data and make informed decisions for the future. This paper is very significant to perfect the theory and the development of the temporal data mining.