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Mining Data Streams using Clustering Techniques

by Manal Mansour Alharthi, Manal Abdulaziz Abdullah
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 184 - Number 7
Year of Publication: 2022
Authors: Manal Mansour Alharthi, Manal Abdulaziz Abdullah
10.5120/ijca2022922027

Manal Mansour Alharthi, Manal Abdulaziz Abdullah . Mining Data Streams using Clustering Techniques. International Journal of Computer Applications. 184, 7 ( Apr 2022), 9-15. DOI=10.5120/ijca2022922027

@article{ 10.5120/ijca2022922027,
author = { Manal Mansour Alharthi, Manal Abdulaziz Abdullah },
title = { Mining Data Streams using Clustering Techniques },
journal = { International Journal of Computer Applications },
issue_date = { Apr 2022 },
volume = { 184 },
number = { 7 },
month = { Apr },
year = { 2022 },
issn = { 0975-8887 },
pages = { 9-15 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume184/number7/32339-2022922027/ },
doi = { 10.5120/ijca2022922027 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:20:50.484161+05:30
%A Manal Mansour Alharthi
%A Manal Abdulaziz Abdullah
%T Mining Data Streams using Clustering Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 184
%N 7
%P 9-15
%D 2022
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This research highlights the significant aspects to consider when building a framework for mining the data streams. The main aspects include the methods of data summarizing and creating synopsis. Besides, the main approaches of clustering the data synopses. The research also shows some real applications and tools for mining the streaming data. The main goal is to present the ClusKmeans model as an example for data stream clustering, and to study its performance with different scenarios of data speed, noise levels, and horizon ranges.

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Index Terms

Computer Science
Information Sciences

Keywords

Data Streams Data Stream Mining ClusKmeans Data synopsis Pyramidal window Micro-clusters

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