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IMCSIT
2010

Using Self Organizing Map to Cluster Arabic Crime Documents

10 years 1 months ago
Using Self Organizing Map to Cluster Arabic Crime Documents
This paper presents a system that combines two text mining techniques; information extraction and clustering. A rulebased approach is used to perform the information extraction task, based on the dependency relation between some intransitive verbs and prepositions. This relationship helps in extracting types of crime from documents within the crime domain. With regard to the clustering task, the Self Organizing Map (SOM) is used to cluster Arabic crime documents based on crime types. This work is then validated through experiments, the results of which show that the techniques developed here are promising.
Meshrif Alruily, Aladdin Ayesh, Abdulsamad Al-Marg
Added 05 Mar 2011
Updated 05 Mar 2011
Type Journal
Year 2010
Where IMCSIT
Authors Meshrif Alruily, Aladdin Ayesh, Abdulsamad Al-Marghilani
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