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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.
Ashish P. Joshi, Dr. Biraj V. Patel
DSM(Data Stream Mining) , TDM(Traditional Data Mining)
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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
URL : http://ijsrst.com/IJSRST173725