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Volume & Issue no: Volume 3, Issue 9, September 2014

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Title:
A comprehensive Study of Data Stream Mining Techniques
Author Name:
Deepak Kumar Mishra, Dr. Varsha Sharma and Dr. Sanjeev Sharma
Abstract:
ABSTRACT Breathless flow in data collection and storage mechanism has enabled Firms to heap up a massive amount of data. Simple transactions of everyday life, such as uses of credit card or super market transactions lead to automated data storage. In many cases, these huge volumes of data can be mined for fascinating and applicable information in a wide range of applications. When the volume of the underlying data is huge, it generates a number of computational and mining challenges. Today, a large domain of data-concentrated applications, in which data is in the form of continuous streams, has been widely granted. Not only is the size of the data for these unlimited applications, but the data arrives at a highly outbreak mode. Keywords: data mining, stream, itemset, data
Cite this article:
Deepak Kumar Mishra, Dr. Varsha Sharma and Dr. Sanjeev Sharma , " A comprehensive Study of Data Stream Mining Techniques " , International Journal of Application or Innovation in Engineering & Management (IJAIEM) , Volume 3, Issue 9, September 2014 , pp. 209-217 , ISSN 2319 - 4847.
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