Issues in Real Time Knowledge Discovery through Data Stream Mining

Authors

  • 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

Keywords:

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

Abstract

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.

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International Journal of Scientific Research in Science and Technology

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Published

2017-10-31

Issue

Volume 3, Issue 7, September-October-2017

Section

Research Articles

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How to Cite

[1]
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), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 3, Issue 7, pp.132-135, September-October-2017.