A Framework for Data Mining Visualization using Cluster Analysis: An Experimental Study on HIV-AIDS Datasets

With a need for rational selection of a highly needed bio-informatics-related data, a technique to select, process and visualize the data is crucial. Through visualization, certain hidden form of knowledge can be achieved. Visual data exploration is really useful when little is known about the data...

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Main Authors: Syahrul Nizam, Junaini, Huspi, S.H, Mat, A.R, Noor Alamshah, Bolhassan
Format: Proceeding
Language:English
Published: Proceedings of the International Conference on Man-Machine Systems (ICoMMS 2006), 15-16 September 2006, Langkawi, Malaysia 2006
Subjects:
Online Access:http://ir.unimas.my/id/eprint/1188/
http://ir.unimas.my/id/eprint/1188/1/ICOMMS-169%2BFINAL%2B-%2BIRIS.pdf
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author Syahrul Nizam, Junaini
Huspi, S.H
Mat, A.R
Noor Alamshah, Bolhassan
author_facet Syahrul Nizam, Junaini
Huspi, S.H
Mat, A.R
Noor Alamshah, Bolhassan
author_sort Syahrul Nizam, Junaini
building UNIMAS Institutional Repository
collection Online Access
description With a need for rational selection of a highly needed bio-informatics-related data, a technique to select, process and visualize the data is crucial. Through visualization, certain hidden form of knowledge can be achieved. Visual data exploration is really useful when little is known about the data and the exploration goals are vague. In this paper we present the method to be developed and implemented in a system prototype that will be able to produce an interactive visualization. The objective of this paper is twofold. First, we would like to investigate which visual data mining technique is the most effective for conveying and understanding bioactivity-related data visualization. Second, to explore new techniques to present and visualize the data as well as to validate the techniques by creating prototype of visualization tools to display and analysis the data. We develop a new framework using clustering technique for visualization and model the data. The dataset that will be used in our study is a subset of a particular AIDS dataset. For this study, 1000 molecules will be tested and analyzed. This paper explains an ongoing project.
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format Proceeding
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institution Universiti Malaysia Sarawak
institution_category Local University
language English
last_indexed 2025-11-15T05:56:16Z
publishDate 2006
publisher Proceedings of the International Conference on Man-Machine Systems (ICoMMS 2006), 15-16 September 2006, Langkawi, Malaysia
recordtype eprints
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spelling unimas-11882018-08-03T01:03:06Z http://ir.unimas.my/id/eprint/1188/ A Framework for Data Mining Visualization using Cluster Analysis: An Experimental Study on HIV-AIDS Datasets Syahrul Nizam, Junaini Huspi, S.H Mat, A.R Noor Alamshah, Bolhassan T Technology (General) With a need for rational selection of a highly needed bio-informatics-related data, a technique to select, process and visualize the data is crucial. Through visualization, certain hidden form of knowledge can be achieved. Visual data exploration is really useful when little is known about the data and the exploration goals are vague. In this paper we present the method to be developed and implemented in a system prototype that will be able to produce an interactive visualization. The objective of this paper is twofold. First, we would like to investigate which visual data mining technique is the most effective for conveying and understanding bioactivity-related data visualization. Second, to explore new techniques to present and visualize the data as well as to validate the techniques by creating prototype of visualization tools to display and analysis the data. We develop a new framework using clustering technique for visualization and model the data. The dataset that will be used in our study is a subset of a particular AIDS dataset. For this study, 1000 molecules will be tested and analyzed. This paper explains an ongoing project. Proceedings of the International Conference on Man-Machine Systems (ICoMMS 2006), 15-16 September 2006, Langkawi, Malaysia 2006 Proceeding NonPeerReviewed text en http://ir.unimas.my/id/eprint/1188/1/ICOMMS-169%2BFINAL%2B-%2BIRIS.pdf Syahrul Nizam, Junaini and Huspi, S.H and Mat, A.R and Noor Alamshah, Bolhassan (2006) A Framework for Data Mining Visualization using Cluster Analysis: An Experimental Study on HIV-AIDS Datasets. In: International Conference on Man-Machine Systems (ICoMMS 2006), 15-16 September 2006. (Unpublished)
spellingShingle T Technology (General)
Syahrul Nizam, Junaini
Huspi, S.H
Mat, A.R
Noor Alamshah, Bolhassan
A Framework for Data Mining Visualization using Cluster Analysis: An Experimental Study on HIV-AIDS Datasets
title A Framework for Data Mining Visualization using Cluster Analysis: An Experimental Study on HIV-AIDS Datasets
title_full A Framework for Data Mining Visualization using Cluster Analysis: An Experimental Study on HIV-AIDS Datasets
title_fullStr A Framework for Data Mining Visualization using Cluster Analysis: An Experimental Study on HIV-AIDS Datasets
title_full_unstemmed A Framework for Data Mining Visualization using Cluster Analysis: An Experimental Study on HIV-AIDS Datasets
title_short A Framework for Data Mining Visualization using Cluster Analysis: An Experimental Study on HIV-AIDS Datasets
title_sort framework for data mining visualization using cluster analysis: an experimental study on hiv-aids datasets
topic T Technology (General)
url http://ir.unimas.my/id/eprint/1188/
http://ir.unimas.my/id/eprint/1188/1/ICOMMS-169%2BFINAL%2B-%2BIRIS.pdf