In the data stream model the data arrive at high speed so that the algorithms used for mining the data streams must process them in 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 discussing different type windowing techniques and the important algorithms available in this mining process.

How to Cite
PRAMOD S. AND O.P VYAS, Mr.. Data Stream Mining: A Review on Windowing Approach. Global Journal of Computer Science and Technology, [S.l.], july 2012. ISSN 0975-4172. Available at: <https://computerresearch.org/index.php/computer/article/view/553>. Date accessed: 24 jan. 2021.