%0 Journal Article
%T Algorithm to handle Concept Drifting in Data Stream Mining
%A Ms. Snehlata Dongre
%A Dr. Latesh Malik
%J International Journal of Computer Science and Network
%D 2013
%I IJCSN publisher
%X Data Stream Mining is the evolving field of research. Miningcontinuous data streams brings unique opportunities but also newchallenges. This paper will describe and evaluate the proposedclassifier which uses ensemble classifier along with the boostingconcept. Adaptive windowing is also used for handling the datastream. Empirical study will show that the proposed classifiertakes less memory, less time,
%K Data Stream Mining
%K Concept Drift
%K Classification
%K Ensemble Classifier
%U http://ijcsn.org/IJCSN-2013/2-1/IJCSN-2013-2-1-63.pdf