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    ASIA unversity > 管理學院 > 經營管理學系  > 博碩士論文 >  Item 310904400/10686

    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/10686

    Title: Analyzing the Application of Data Mining Techniques in Environmental Pollution - A Case Study of Taichung City
    Authors: Lin, Shwu-Jen
    Contributors: Department of Business Administration
    Keywords: Data Mining;Environmental Pollution;Association Rule
    Date: 2010
    Issue Date: 2010-11-04 17:20:03 (UTC+8)
    Publisher: Asia University
    Abstract: As the public environmental issues, they began monitoring and preventing among the environmental pollution problems. The environmental pollutions such as air pollution, water pollution, noise pollution, sanitation and waste pollution, and those seriously have affected environmental people’s daily life. In the past, government agencies in the advocacy of pollution prevention were not able draw up to related policies between the contaminated areas and pollution sources, so that lots of unnecessary costs was wasted. Therefore, in this study it employed the association rule method in data mining, found the useful characteristics of information from the database systems in Environmental Protection Administration Pollution Report Centre to clear the factors and their relationships of environmental pollution. It analyzes the possible way for sustainable environment, and simply and cleanly illustrates results through graphical approach, and finally offers decision-making for relevant authorities to set up effective plan for environmental pollutions. This study indicates noise pollution has the relations among government departments, and air pollution’s business and air pollution’s business and industry; the general publics water pollution and waste pollution, and public places and waste pollution.
    Appears in Collections:[經營管理學系 ] 博碩士論文

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