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Comparative Study of Association Rule Mining for Sensor Data

by Manisha Rajpoot, Lokesh Kumar Sharma
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 19 - Number 1
Year of Publication: 2011
Authors: Manisha Rajpoot, Lokesh Kumar Sharma
10.5120/2323-3011

Manisha Rajpoot, Lokesh Kumar Sharma . Comparative Study of Association Rule Mining for Sensor Data. International Journal of Computer Applications. 19, 1 ( April 2011), 34-36. DOI=10.5120/2323-3011

@article{ 10.5120/2323-3011,
author = { Manisha Rajpoot, Lokesh Kumar Sharma },
title = { Comparative Study of Association Rule Mining for Sensor Data },
journal = { International Journal of Computer Applications },
issue_date = { April 2011 },
volume = { 19 },
number = { 1 },
month = { April },
year = { 2011 },
issn = { 0975-8887 },
pages = { 34-36 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume19/number1/2323-3011/ },
doi = { 10.5120/2323-3011 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:05:53.761237+05:30
%A Manisha Rajpoot
%A Lokesh Kumar Sharma
%T Comparative Study of Association Rule Mining for Sensor Data
%J International Journal of Computer Applications
%@ 0975-8887
%V 19
%N 1
%P 34-36
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Knowledge discovery from sensor data is an emerging research area due to many applications of crucial importance to our society. Wireless Sensor Networks produce large scale of data in the form of streams. Association Rule Mining in the sensor data provides useful information for different applications. In this study we analyze the framework of association rule mining for sensor data. Three data mining techniques PLT, SP-Tree and FP-Growth to mine the sensor data are considered in this study. These techniques are experimented with various support values and number of messages. The comparative performance analyses are reported in this paper.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Sensor Data Mining Association Rule Mining Pattern Discovery SP-Tree FP-Growth

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