Social and Political Implications of Data Mining: Knowledge Management in E-Government

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In recent years, data mining has become a powerful tool in assisting society with its various layers and individual elements useful in obtaining intelligent information for making knowledgeable decisions. In the realm of knowledge discovery, data mining is becoming one of the most popular topics in information technology.

Social and Political Implications of Data Mining: Knowledge Management in E-Government focuses on the data mining and knowledge management implications that lie within online government. This significant reference book contains cases on improvement of governance system, enhancement of security techniques, upgrade of social service sectors, and foremost empowerment of citizens and societies a valuable added asset to academicians, researchers, and practitioners.

Author(s): Hakikur Rahman, Hakikur Rahman
Series: Premier Reference Source
Edition: 1
Publisher: Information Science Reference
Year: 2008

Language: English
Commentary: 37392
Pages: 378

Title......Page 2
Table of Contents......Page 6
Detailed Table of Contents......Page 10
Foreword......Page 17
Preface......Page 18
Acknowledgment......Page 27
A Conceptual Framework for Data Mining and Knowledge Management......Page 30
A Framework for Knowledge Management in E-Government......Page 45
E-Government Knowledge Management (KM) and Data Mining Challenges: Past, Present, and Future......Page 57
Knowledge Management Portals for Empowering Citizens and Societies......Page 71
Better Knowledge for Better Health Services: Discovering Guideline Compliance......Page 94
Governance in European Hospitlas: Analysing Governance Practices Using Data Mining and Information Visualisation......Page 117
A Data Mining Approach to Advance Knowledge in Public Governemtn: Profiling Households......Page 135
Electronic Payment Systems in Developing Countries for Improved Governance System......Page 155
Data Mining as Part of Intelligence-Led Policing in the Finnish Police......Page 180
Current Issues and Future Analysis in Text Mining for Information Security Applications......Page 194
Data Mining in Aviation Safety Data Analysis......Page 207
Applying Dynamic Causal Mining in E-Government Modeling......Page 229
Ontology-Based Management of e-Government Knowledge......Page 250
Data Mining in Decision Support for Bioenergy Production......Page 264
Virtual Assistants for E-Government Interaction......Page 284
Digital Divide and its Implication on Malaysian E-Government: Policy Initiatives......Page 296
Digitization Initiatives and Knowledge Management: Institutionalization of E-Governance in Teaching, Learning and Research in East African Universities......Page 317
Data Mining in Public Administration......Page 331
Compilation of References......Page 344
About the Contributors......Page 370
Index......Page 376