Paper Info
Title
An Application of Rough Set Theory for Clustering Performance Expectancy of Indonesian e-Government Dataset.
Abstract
Performance expectancy has been studied as an important factor which influences e-government. Therefore, grouping of e-government users involving performance expectancy factor is still challenging. Computational model can be explored as an efficient clustering technique for grouping e-government users. This paper presents an application of rough set theory for clustering performance expectancy of e-government user. The propose technique base on the selection of the best clustering attribute where the maximum dependency of attribute in e-government data is used. The datasets are taken from a survey aimed to understand of the adoption issue in e-government service usage at Bandung city in Indonesia. At this stage of the research, we point how a soft set approach for data clustering can be used to select the best clustering attribute. The result of this study will present useful information for decision maker in order to make policy concerning theirs people and may potentially give a recommendation how to design and develop e-government system in improving public service.
Year
DOI
Venue
2016
10.1007/978-3-319-51281-5_64
RECENT ADVANCES ON SOFT COMPUTING AND DATA MINING
Keywords
Field
DocType
Clustering,Rough set theory,Performance expectancy,e-Government
Data mining,Expectancy theory,Public service,E-Government,Computer science,Soft set,Rough set,Artificial intelligence,Cluster analysis,Indonesian,Machine learning,Decision maker
Conference
Volume
ISSN
Citations 
549
2194-5357
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Deden Witarsyah Jacob101.01
Mohd Farhan Md Fudzee2459.29
Mohamad Aizi Salamat302.70
Rd Rohmat Saedudin400.68
Iwan Tri Riyadi Yanto5647.29
Tutut Herawan660875.21