Data Mining and Privacy in Public Sector using Intelligent Agents

Title: Data Mining and Privacy in Public Sector using Intelligent Agents

Abstract: This paper discusses a technical solution for information sharing in the public sector while addressing privacy concerns. The solution is based on imposing an additional layer of Intelligent Software Agents and Knowledge Bases for data mining and analysis. The paper uses New Zealand's public sector environment as a case study, focusing on tax evasion and child care and abuse cases. The ideal solution involves addressing business requirements and implementing a technical solution with general outlines, issues, risks, and concerns. The technical solution details include intra-node and extra-node layers, deployment, configuration, information gathering, interfaces, and information provisioning.

Main Research Question: How can data mining and privacy concerns be addressed in the public sector using Intelligent Agents?

Methodology: The study uses the New Zealand public sector as a case study, focusing on tax evasion and child care and abuse cases. It proposes a technical solution involving Intelligent Software Agents and Knowledge Bases for data mining and analysis.

Results: The paper outlines the benefits of this approach, including improved information sharing and analysis without the need for reorganization of the existing public sector infrastructure. It also addresses privacy concerns and provides a technical solution with detailed implementation steps.

Implications: The proposed solution can help public sector organizations share information more effectively while addressing privacy concerns. It can also serve as a model for other organizations facing similar challenges.

Link to Article: https://arxiv.org/abs/0311050v1 Authors: arXiv ID: 0311050v1