Duo-mining With Multi-agents: The Next Wave To Control Organised Crime
Free (open access)
C. Chibelushi & I. Bentley
Text and data mining are fast growing areas and are believed to have high commercial potential value in knowledge discovery and information filtering areas of application. Although text mining manages unstructured data, most of knowledge discovery and information filtering can be done using data mining. Despite that, both technologies do not actively predict and prevent problems, instead they leave the work to the experts to manually interpret the data, anticipate future events and make the final decision. This paper proposes the ASKARI approach outlined in this paper, which combines duo-mining (text and data mining) with multi-agent systems, the approach aims to predict and prevent crimes before they happen, and in fact, might become the next wave of knowledge discovery. Also, the paper highlights the benefits of combining duomining and multi-agents in prediction and preventing organised crimes. Keywords: organised crime, duo-mining, multi-agent systems. 1 Introduction Organised crime is certainly not a new phenomena but it has become, in recent years, increasingly more widespread and highly sophisticated, taking advantage of the advances in technology, particularly in the field of communication. Organised crime can be defined as a structured or not structured group of two or more people existing for a period of time and acting in concert with the aim of committing one or more serious crimes that are motivated by politics, religion, race or financial gain . Organised crime can include terrorism, drug trafficking, fraud, gang robberies and other group-oriented criminal activities. A terrorist incident is perceived to be significant if it results in loss of life, serious
organised crime, duo-mining, multi-agent systems.