Frequent pattern mining algorithm for uncertain data streams based on sliding window

Frequent itemset mining play a important role in the mining of various patterns and is in demanded in many real-life. Most of studies find frequent itemsets from traditional transcaction databases, in which the contents of each transcation are definitely known and prise. However, there are many situations in which ones are uncertain, This calls for mining uncertain data. Moreover, floods of uncertain data can be produced in many other situations. This leads to stream mining of uncertain data. In this paper, we proposed DSUF-mine algorithm to deal with stream mining of uncertain data