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STREAM DATA MINING: TECHNIQUES AND ISSUES
2
Author(s):
SUDHANSHU KUMAR, R. S. THAKUR
Vol - 8, Issue- 8 ,
Page(s) : 71 - 76
(2017 )
DOI : https://doi.org/10.32804/IRJMST
Abstract
The continuous developments in hardware and software technology in recent years have enabled the capture of different variety of data in different format in a wide range of fields. It includes telecommunication data, transaction data, electric power grid data and other similar dynamic data. Every day, huge volumes of sensor, transactional and web data are rapidly generated as streams, which should be analyzed. A data stream is a sequence of unbounded, real time data items with a very high data rate. Traditional data mining techniques cannot be applied with such huge and fast data. It requires advanced mining methods for the analysis and mining as well as to handle the various issues associated with it.
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