Abstract

Ontology-based clustering has gained attention in recent years due to the potential benefits of ontology. Current ontology-based clustering approaches have mainly been applied to reduce the dimensionality of attributes in text document clustering. Reduction in dimensionality of attributes using ontology helps to produce high quality clusters for a dataset. However, ontology-based approaches in clustering numerical datasets have not been gained enough attention. Moreover, some literature mentions that ontology-based clustering can produce either high quality or low-quality clusters from a dataset. Therefore, in this paper we present a clustering approach that is based on domain ontology to reduce the dimensionality of attributes in a numerical dataset using domain ontology and to produce high quality clusters. For every dataset, we produce three datasets using domain ontology. We then cluster these datasets using a genetic algorithm-based clustering technique called GenClust++. The clusters of each dataset are evaluated in terms of Sum of Squared-Error (SSE). We use six numerical datasets to evaluate the performance of our ontology-based approach. The experimental results of our approach indicate that cluster quality gradually improves from lower to the higher levels of a domain ontology.

Original languageEnglish
Title of host publication2022 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSD
PublisherIEEE Xplore
Number of pages6
ISBN (Electronic)9781665453059
ISBN (Print)9781665453066
DOIs
Publication statusE-pub ahead of print - 06 Apr 2023
Event9th IEEE Asia-Pacific Conference on Computer Science and Data Engineering 2022 - Sheraton Grand Mirage Resort, Gold Coast, Australia
Duration: 18 Dec 202220 Dec 2022
https://ieee-csde.org/csde2022/
https://ieee-csde.org/csde2022/wp-content/uploads/2022/12/CSDE-Program-V5.pdf (Program)
https://ieeexplore-ieee-org.ezproxy.csu.edu.au/xpl/conhome/10089231/proceeding (Proceedings)

Publication series

NameProceedings of IEEE Asia-Pacific Conference on Computer Science and Data Engineering, CSDE 2022

Conference

Conference9th IEEE Asia-Pacific Conference on Computer Science and Data Engineering 2022
Abbreviated titleData driven decision is another form of science
Country/TerritoryAustralia
CityGold Coast
Period18/12/2220/12/22
OtherThe 9th IEEE CSDE 2022, the Asia-Pacific Conference on Computer Science and Data Engineering 2022 offers an ideal opportunity for researchers, engineers, academics and students from all over the world to bring the latest technological advances and applications in Computer Science and Data Engineering to the Southern Hemisphere, as well as to network and promote the discipline. Cutting edge researchers in this field will present keynote speeches during a three-day program that also features tutorials and technical sessions on theory, analysis, design, testing, and advances within the field of Computer Science and Data Engineering.
Internet address

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