A Prototype System for Mining Frequent Citizens’ Demand Patterns from E-Government Databases
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Date
2017
Authors
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Journal ISSN
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Publisher
Computing and Information Systems Journal
Abstract
Purpose: The objective of this study is to
propose a prototype system for collecting,
analyzing, understanding and mining citizens
pressing needs and demands from e-government
databases.
Design/Methodology/Approach: Common
citizens demands were obtained from published
literature and used to populate a database which
was mined with the Apriori algorithm to obtain
the most frequent citizens demands.
Findings: Mining a collection of citizens’
pressing demands data from e-government
databases is very feasible.
Research limitations/implications: The
developed system is a prototype designed and
tested with a randomized synthetic dataset. The
prototype can greatly assist the government to
make informed decisions regarding the needs of
the citizens.
Practical implications: This will serve as a
framework to the government and interested
organizations for deploying such an important
system that will provide a reliable link between
the government and the citizens. The results
should provide improved governance and also
enhance citizens' satisfaction.
Originality/value: For any government to
succeed, citizens’ relationship management and
satisfaction must be given a top priority. The
developed prototype is practicable, achievable
and promises great benefits to any interested
government, researchers and system developers.