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Author(s): C. Chibelushi & I. Bentley
Abstract:
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 [1].
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
...
Pages: 17
Size: 826 kb
Paper DOI: 10.2495/DATA080261
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This paper can be found in the following book Data Mining IX: Data Mining, Protection, Detection and other Security Technologies  Buy
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