Publication

Abstract : Data Stream: A continuous stream of raw data has to be converted into some intelligible form to extract meaningful information from it. Only then the data can be put to use. Handling real time data streams in data mining isn't easy and poses various challenges to researchers. It poses four main challenges namely, Infinite length, Concept-drift, Concept-evolution and Feature evolution. Various researchers have proposed various techniques for overcoming these difficulties. But major work has been done to handle infinite length and conceptdrift in data streams only. The other two problems have not been tackled that efficiently. In this paper, we make an effort to list and summarize various strategies that have been proposed to overcome the above stated problems for efficiently making use of stream data.