Title :
Discovering potential drug abuse with fuzzy sets
Author :
Leung, Li Ho ; Ng, Vincent Ty
Author_Institution :
Dept of Comput., Hong Kong Polytech. Univ., Hong Kong, China
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.
Keywords :
data mining; drugs; fuzzy set theory; D-MinerB algorithm; Hong Kong Police; Web mining; drug abuse; fuzzy sets; language parsing techniques; psychotropic substance; students; Drugs; Engines; Information filters; Drug abuse; blog; fuzzy set; web mining;
Conference_Titel :
Systems Man and Cybernetics (SMC), 2010 IEEE International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-1-4244-6586-6
DOI :
10.1109/ICSMC.2010.5641896
