Discovering potential drug abuse with fuzzy sets

Li Ho Leung; Vincent To Yee Ng

doi:10.1109/ICSMC.2010.5641896

Discovering potential drug abuse with fuzzy sets

Li Ho Leung, Vincent To Yee Ng

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-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 language	English
Title of host publication	2010 IEEE International Conference on Systems, Man and Cybernetics, SMC 2010
Pages	2656-2662
Number of pages	7
DOIs	https://doi.org/10.1109/ICSMC.2010.5641896
Publication status	Published - 1 Dec 2010
Event	2010 IEEE International Conference on Systems, Man and Cybernetics, SMC 2010 - Istanbul, Turkey Duration: 10 Oct 2010 → 13 Oct 2010

Conference

Conference	2010 IEEE International Conference on Systems, Man and Cybernetics, SMC 2010
Country/Territory	Turkey
City	Istanbul
Period	10/10/10 → 13/10/10

Keywords

Blog
Drug abuse
Fuzzy set
Web mining

ASJC Scopus subject areas

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

More information

10.1109/ICSMC.2010.5641896

Cite this

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title = "Discovering potential drug abuse with fuzzy sets",

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.",

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AB - 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.

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KW - Drug abuse

KW - Fuzzy set

KW - Web mining

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U2 - 10.1109/ICSMC.2010.5641896

DO - 10.1109/ICSMC.2010.5641896

M3 - Conference article published in proceeding or book

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BT - 2010 IEEE International Conference on Systems, Man and Cybernetics, SMC 2010

T2 - 2010 IEEE International Conference on Systems, Man and Cybernetics, SMC 2010

Y2 - 10 October 2010 through 13 October 2010

ER -

Discovering potential drug abuse with fuzzy sets

Abstract

Conference

Keywords

ASJC Scopus subject areas

UN SDGs

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