Data stream mining: A review

Abstract

Abstract:: In the data stream model the data arrives at high speed so that the algorithms used for mining the data streams must process them in a very strict constraints of space and time. This raises new issues that need to be considered when developing association rule mining algorithms for data streams. So it is important to study the existing stream mining algorithms to open up the challenges and the research scope for the new researchers. In this paper we are briefly discussing the different issues and challenges in the data stream mining. © 2013 Springer Science+Business Media New York.