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Journal Article

Data Mining Solutions for Local Municipalities  pp97-106

Gözde Bakırlı, Derya Birant, Erol Mutlu, Alp Kut, Levent Denktaş, Dilşah Çetin

© Dec 2012 Volume 10 Issue 2, ECEG, Editor: Frank Bannister, pp95 - 181

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Abstract

This study proposes data mining solutions for local municipalities to make their decision support mechanism easier. The purpose of this study is to get intelligent solutions related to local government services from past data and to estimate the future activities. It covers socio‑cultural analyses, income/expense analyses, infrastructure analyses, fraud detection analyses, simplification, verification and similarity analyses. Proposed system is based on service oriented architecture. The purposes of this project are; to give information about current state, to facilitate decision making for future activities, to increase income and decrease expense, to supply easy and correct data input to the system and to supply easier document tracking system. Seventeen scenarios were created initially. These scenarios are; Staff Analyzing, Classifying Citizens According to Real Estate Tax, Distribution of Citizens delaying Real Estate Tax, Income Operations Analyzing, Fuel Oil Analyzing, Electricity Consumption Analyzing, Cash Desk Analyzing, Distribution of Corporate Foundation, Moveable Material Analyzing, Logs Analyzing, Water Notice Analyzing, User Accounts Analyzing, Accountancy Analyzing, Employee Analyzing, Estimation of Wages, Citizen Analyzing and Corporate Foundation Analyzing. Service Oriented Architecture (SOA) is used as software architecture. Five services ‑ Association Rule Mining Web Service (ARMWS), Outlier Detection Analysis Web Service (ODAWS), Classification Web Service (CWS), Clustering Web Service (ClustWS) and Data Preparation Web Service (DPWS) ‑ were created. 7 scenarios used ARMWS, 3 scenarios used ODAWS, 2 scenarios used CWS and ClustWS is used by 5 scenarios.

 

Keywords: data mining, applications of local government, structure and urban informatics, service oriented architecture

 

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Journal Article

A Framework for Adopting E‑Voting in Jordan  pp133-146

Ashtarout Nu’man

© Dec 2012 Volume 10 Issue 2, ECEG, Editor: Frank Bannister, pp95 - 181

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Abstract

This study proposes data mining solutions for local municipalities to make their decision support mechanism easier. The purpose of this study is to get intelligent solutions related to local government services from past data and to estimate the future activities. It covers socio‑cultural analyses, income/expense analyses, infrastructure analyses, fraud detection analyses, simplification, verification and similarity analyses. Proposed system is based on service oriented architecture. The purposes of this project are; to give information about current state, to facilitate decision making for future activities, to increase income and decrease expense, to supply easy and correct data input to the system and to supply easier document tracking system. Seventeen scenarios were created initially. These scenarios are; Staff Analyzing, Classifying Citizens According to Real Estate Tax, Distribution of Citizens delaying Real Estate Tax, Income Operations Analyzing, Fuel Oil Analyzing, Electricity Consumption Analyzing, Cash Desk Analyzing, Distribution of Corporate Foundation, Moveable Material Analyzing, Logs Analyzing, Water Notice Analyzing, User Accounts Analyzing, Accountancy Analyzing, Employee Analyzing, Estimation of Wages, Citizen Analyzing and Corporate Foundation Analyzing. Service Oriented Architecture (SOA) is used as software architecture. Five services ‑ Association Rule Mining Web Service (ARMWS), Outlier Detection Analysis Web Service (ODAWS), Classification Web Service (CWS), Clustering Web Service (ClustWS) and Data Preparation Web Service (DPWS) ‑ were created. 7 scenarios used ARMWS, 3 scenarios used ODAWS, 2 scenarios used CWS and ClustWS is used by 5 scenarios.

 

Keywords: data mining, applications of local government, structure and urban informatics, service oriented architecture

 

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Journal Issue

Volume 10 Issue 2, ECEG / Dec 2012  pp95‑181

Editor: Frank Bannister

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Editorial

The Special ECEG issue of EJEG. The Issue contains seven of the best papers presented at ECEG in Barcelona.

Edited by Frank Bannister, Trinity College, Dublin, Ireland.

With special thanks to Milla Gasco, ESADE, Barcelona, Spain.

 

Keywords: data mining, applications of local government, structure and urban informatics, service oriented architecture, e-procurement, disruptive innovation theory, e-government, public sector innovation, new business model, shared services, trust, e-voting, Jordan, framework, adopting , ePrescription, workaround, usability, tailorability, generativity, professionalism, governance, data, open government data, impediments, barriers, challenges, problems, user perspective, Alignment in practice, alignment, disalignment local government, e-Government, organizational change

 

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