An Application of Rough Set Theory for Clustering Performance Expectancy of Indonesian e-Government Dataset.
Deden Witarsyah JacobMohd Farhan Md FudzeeMohamad Aizi SalamatRd Rohmat SaedudinIwan Tri Riyadi YantoTutut HerawanPublished in: SCDM (2016)
Keyphrases
- e government
- rough set theory
- rough sets
- public sector
- electronic government
- attribute reduction
- decision table
- decision rules
- developing countries
- government services
- knowledge reduction
- digital government
- public administration
- clustering algorithm
- government organizations
- service delivery
- data analysis
- government agencies
- tool for data mining
- knowledge discovery
- data reduction
- united nations
- federal government
- public services
- information entropy
- discernibility matrix
- knowledge management
- secure information sharing
- inter organizational
- fuzzy sets
- artificial intelligence
- equivalence relation
- concept lattice
- end to end
- information sharing
- rough sets theory
- decision trees
- feature selection
- data mining
- real world