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Reseach Article

Knowledge Discovery from Static Datasets to Evolving Data Streams and Challenges

by V. Sidda Reddy, M. Narendra, K. Helini
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 87 - Number 15
Year of Publication: 2014
Authors: V. Sidda Reddy, M. Narendra, K. Helini
10.5120/15284-3915

V. Sidda Reddy, M. Narendra, K. Helini . Knowledge Discovery from Static Datasets to Evolving Data Streams and Challenges. International Journal of Computer Applications. 87, 15 ( February 2014), 22-25. DOI=10.5120/15284-3915

@article{ 10.5120/15284-3915,
author = { V. Sidda Reddy, M. Narendra, K. Helini },
title = { Knowledge Discovery from Static Datasets to Evolving Data Streams and Challenges },
journal = { International Journal of Computer Applications },
issue_date = { February 2014 },
volume = { 87 },
number = { 15 },
month = { February },
year = { 2014 },
issn = { 0975-8887 },
pages = { 22-25 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume87/number15/15284-3915/ },
doi = { 10.5120/15284-3915 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:06:00.340144+05:30
%A V. Sidda Reddy
%A M. Narendra
%A K. Helini
%T Knowledge Discovery from Static Datasets to Evolving Data Streams and Challenges
%J International Journal of Computer Applications
%@ 0975-8887
%V 87
%N 15
%P 22-25
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Mining data streams has recently become an important active research work and more widespread in several fields of computer science and engineering. It has proven successfully in many domains such as wireless sensor networks, ATM transactions, search engines, web analysis and weather monitoring. Data steams can be considered a subfield of machine learning, data mining and knowledge discovery. Data Mining is a step in the process of knowledge discovery from large amount of data. Traditional data mining techniques can not be easily applied to the data stream mining due to unique characteristics of data streams. In this research work, we will survey the main techniques and applications of data mining and data stream mining. We then study, the computational and miming challenges in particular, on-line mining of continuous, high-speed massive data streams.

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Index Terms

Computer Science
Information Sciences

Keywords

Knowledge Discovery Data Mining Data Streams Data Stream Mining