Manuscript Number : IJSRST173725
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 DSM(Data Stream Mining) , TDM(Traditional Data Mining) Publication Details
Published in : Volume 3 | Issue 7 | September-October 2017 Article Preview
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
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
Journal URL : https://ijsrst.com/IJSRST173725
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