English  |  正體中文  |  简体中文  |  Items with full text/Total items : 90453/105671 (86%)
Visitors : 16007302      Online Users : 120
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    ASIA unversity > 管理學院 > 經營管理學系  > 期刊論文 >  Item 310904400/79211

    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/79211

    Title: Applying data mining technique in the monitoring and prevention of public nuisance
    Authors: 許昌賢;Hsu, Chang-Hsien;Ya, Chun-Ming;Yang, Chun-Ming
    Contributors: 經營管理學系
    Keywords: Data mining;public nuisance;association rule
    Date: 2013-12
    Issue Date: 2014-01-06 20:22:42 (UTC+8)
    Abstract: This study applied data mining technique to analyze 10,757 samples from the database of the “Public Nuisance Petition Handling System” established by Taichung City Government in Taiwan to help clarify the correlation between the hidden factors and causes in public nuisance. The results show that noise pollution is linked to government agencies and commercial businesses, air pollution is linked to commerce and industry; water and waste pollution are linked to the public, and public places are linked to waste pollution. In the future, relevant organizations may refer to the results of this study to develop public nuisance prevention policies and management applications.
    Relation: Journal of Food Agriculture & Environment
    Appears in Collections:[經營管理學系 ] 期刊論文

    Files in This Item:

    File SizeFormat

    All items in ASIAIR are protected by copyright, with all rights reserved.

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback