Issues in Real Time Knowledge Discovery through Data Stream Mining

Authors(2) :-Ashish P. Joshi, Dr. Biraj V. Patel

The huge data are measured by recent software or hardware which are generated rapidly and highly vary such as business transaction, telecommunication call records, stock exchange, sensor networks, web logs, and computer network traffic. The challenging task is to store, retrieve and process these data sets which are considered as stream. The data stream mining is a growing technique in the field of data mining where data are analyze, process and synthesize which comes in stream. It is used to find the hidden pattern from online records of business transaction and many fields where data are frequently changes. This paper represents the current issues with this growing technique.

Authors and Affiliations

Ashish P. Joshi
V. P. & R. P. T. P. Science College, V. V. Nagar, Gujarat, India
Dr. Biraj V. Patel
G. H. Patel P.G. Department of Computer Science & Technology, V. V. Nagar, Gujarat, India

DSM(Data Stream Mining) , TDM(Traditional Data Mining)

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Publication Details

Published in : Volume 3 | Issue 7 | September-October 2017
Date of Publication : 2017-10-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 132-135
Manuscript Number : IJSRST173725
Publisher : Technoscience Academy

Print ISSN : 2395-6011, Online ISSN : 2395-602X

Cite This Article :

Ashish P. Joshi, Dr. Biraj V. Patel, " Issues in Real Time Knowledge Discovery through Data Stream Mining, International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 3, Issue 7, pp.132-135, September-October-2017. Available at doi : 10.32628/IJSRST173725
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