DocumentCode
3180663
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
fYear
2010
fDate
10-13 Oct. 2010
Firstpage
2656
Lastpage
2662
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems Man and Cybernetics (SMC), 2010 IEEE International Conference on
Conference_Location
Istanbul
ISSN
1062-922X
Print_ISBN
978-1-4244-6586-6
Type
conf
DOI
10.1109/ICSMC.2010.5641896
Filename
5641896
Link To Document