Proceeding of

National Conference


Recent Trends in Mobile

and Cloud Computing


17-18 December, 2014



A Special Issue of

International Journal of Computer Science and Applications


Chief Patron

Shri Banwarilal Purohit 



Shri Govindlal Agarwal

General Secretary, RCOEM




 Prof. Q.H.Jeevaji

Director, DMT, RCOEM


Dr. R.S. Pande




Dr. M. B. Chandak

(Head, Dept. of CSE)



Dr. A. J. Agrawal


Organizing Committee

Prof. M. R. Wanjari

Prof. S. G. Mundhada

Prof. A.V. Buche

Prof. N. N. Tirpude

Prof. K. P. Khurana

Prof. D. A. Borikar

Prof. A. R. Raipurkar

Organized by

Description: RCOEM_Logo.png

Dept of Computer Science & Engineering,

Shri Ramdeobaba College of Engineering and Management, Nagpur 440013.



In association with


Department of Science & Technology




K. H. Walse





IJCSA ISSN: 0974-1011 (Online) >>    
A Survey on Various Strategies for Classification and Novel Class Detection of Data Streams

Rimjhim Singh and Dr. M. B. Chandak



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 concept-drift 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.

2015 International Journal of Computer Science and Applications 

Published by Research Publications, India