A Framework for Intelligent Analysis of Intelligence Data

Abstract

Intelligent data analysis plays an important role in many application domains. In particular, for detection and prevention of serious crime, including terrorist activity, automated modelling and analysis of intelligence data is of great practical significance. Such an intelligent analysis system will provide useful decision support for intelligence analysts, offering an effective means in the assessment of possible scenarios given observations which may be imprecise and/or uncertain. Intelligent analysis of intelligence data will therefore help to facilitate rapid response in devising and deploying preventive measures. This paper presents an initial approach to the development of a general framework that integrates key component systems for intelligent data analysis, with an application focus on intelligence data. It describes the functionalities of the important component systems and introduces example techniques that are useful to implement such systems. The paper also discusses major challenges and opportunities for further relevant research.