عنوان مقاله [English]
نویسندگان [English]چکیده [English]
The concept of "information redundancy" is presented thanks to internet
development and ever-increasing its usage in acquiring information. Today Lack
or absence of information is not the important issue; the important is the lack of
methods in order to find and extracting accessible information. Text mining as a
method for extracting knowledge is one of the most important issues in
information management. A huge mass of information which is saved as text or
unstructured has unrecorded valuable data. Data mining and text mining are two
significant and appropriate technologies to discover patterns among a lot of data.
Therefore, many safety and security organizations depend on text mining and
data mining so as to determine and predict the crime.
In the present study after introducing data mining and its related scientific
majors, data mining methods are described in two categories as descriptive and
predictive. Moreover, the application of data mining is presented in police
application fields before and after crime commitment and text mining is
described as one the important applications of data mining in crime prediction
and prevention. The application of new technologies and methods based on text
mining are studied in subjects related to crimes regarding that text mining
application is before the crime commitment mostly. Thus, in accordance with the
results, applying these technologies and text mining methods has influence on
increasing crime information, prediction and prevention.