Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/13567
Title: Discovering potential drug abuse with fuzzy sets
Authors: Li, HL
Ng, V 
Keywords: Drug abuse
Blog
Fuzzy set
Web mining
Issue Date: 2010
Publisher: IEEE
Source: 2010 IEEE International Conference on Systems Man and Cybernetics (SMC), 10-13 October 2010, Istanbul, p. 2656-2662 How to cite?
Abstract: According to the recent CRDA and drug statistics in Hong Kong, the age range for students abusing psychotropic substance is getting younger emphatically. In 2009, we have collaborated with the RPCO KE of the Hong Kong Police for the development of a web miner to detect information related to potential drug abusers on the web. This paper describes the D-MinerB algorithm for detecting possible patterns posted on blogs. Fuzzy set and some language parsing techniques have been adopted. For the preliminary test of the collected set, we are able to identify 21 blog posts from 472 blog posts while over 84% of the identified ones are relevant.
URI: http://hdl.handle.net/10397/13567
ISBN: 978-1-4244-6586-6
ISSN: 1062-922X
DOI: 10.1109/ICSMC.2010.5641896
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