Duo-mining with multi-agents: the next wave to control organised crime
Claude C. Chibelushi, I. Bentley · WIT transactions on information and communication technologies · 2008
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.