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

Syahrul N. Junaini, and Huspi S.H., and Mat A.R., and Bolhassan N.A., (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, 14 Sept 2006, Langkawi, Malaysia.

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Affiliations

Universiti Malaysia Sarawak. Faculty of Computer Science & Information Technology
Universiti Malaysia Sarawak. Faculty of Computer Science & Information Technology
Universiti Malaysia Sarawak. Faculty of Computer Science & Information Technology
Universiti Malaysia Sarawak. Faculty of Computer Science & Information Technology

Abstract

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.

Item Type:Conference or Workshop Item (Paper)
Additional Information:The Fundamental Research Grant by Universiti Malaysia Sarawak (UNIMAS) has made this research possible. Many thanks to anonymous colleagues and reviewers that helped us to improve the manuscript. We would also like to thank Dr Naomie Salim from Universiti Teknologi Malaysia for providing the dataset from the experiment in
Keywords:Visualization, data mining, clustering
Subjects:Q Science, Computer Science
ID Code:3499

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