Frequent Pattern Mining in Data Streams

Data stream mining has attracted many researchers'attention and has become a useful tool for many fields.A fundamental problem is how to use the limited storage space to mine frequent pattern efficiently.Based on comment of DSMS model,various frequent pattern mining algorithms are analyzed thoroughly and their characteristics and limitation are pointed out in this paper.Finally,future directions in data mining stream research are discussed.