Discovering potential drug abuse with fuzzy sets

Li Ho Leung, Vincent To Yee Ng

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

4 Citations (Scopus)

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.
Original languageEnglish
Title of host publication2010 IEEE International Conference on Systems, Man and Cybernetics, SMC 2010
Pages2656-2662
Number of pages7
DOIs
Publication statusPublished - 1 Dec 2010
Event2010 IEEE International Conference on Systems, Man and Cybernetics, SMC 2010 - Istanbul, Turkey
Duration: 10 Oct 201013 Oct 2010

Conference

Conference2010 IEEE International Conference on Systems, Man and Cybernetics, SMC 2010
CountryTurkey
CityIstanbul
Period10/10/1013/10/10

Keywords

  • Blog
  • Drug abuse
  • Fuzzy set
  • Web mining

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Human-Computer Interaction

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