應用資料探勘技術預測空污指數對空氣清淨機銷量影響之研究

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应用资料探勘技术预测空污指数对空气清净机销量影响之研究

Application of Data Mining Techniques to Predict Air Pollution Index Study on the Effect on the Sales of Air Purifiers

吴文雄 , 硕士　　导师：陈民枝教授　　共同指导教授：黄馨逸副教授

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支援向量回归；空污指数； PM2.5 ；空气清净机； Support vector regression ； Air pollution index ； PM2.5 ； Air purifier

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摘要 │ 参考文献 (31) │ 国际计量

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On May 2014, the Taiwan government formally incorporated PM2.5 into one of the Environmental Protection Department Air Quality monitoring projects. Media reports reminded the populous to attach importance to air pollution problems. Many related PM2.5 research indicates that some diseases are caused by certain air pollution. In this study, support vector regression (SVR) is used to analyze air pollution index to forecast air purifier sales. First part of the research data is open source from the Executive Yuan’s Environmental Protection Department from monitoring 13 different pollutants. The PM2.5 pollution index is chosen for 66 monitoring stations throughout the country from the year 2015. For the experimental tests, a total 66 test stores, each closest to the pollution test sites, were selected from a national chain store. Second part of the research data is from the year 2015 sales of air purifiers from the 66 test stores. The support vector regression (SVR) analysis of SVM has effective analysis and prediction. Therefore, this study made use of SVR in R language to perform training and test analysis. Experimental results showed that SVR can predict increase sales of air purifier when the PM2.5 index rises. Regression analysis of the Yunjia Southern area showed that sales are the highest amongst all the other test sites due to the fact that the suspended particles (PM) cannot disperse easily in the plains and basin topography together being in the 3000 meters central mountain range. The experimental results may be used by air purifier products related businesses as a reference to plan sales promotions to attract consumer to purchase the related products. Stores can take initiative to stock up air purifiers and to increase inventory in order to take advantage of the golden sales period. This study can be used as a reminder to businesses to reduce inventory of air purifier when the index is low and vice versa when the index is high. This could be beneficiary for inventory control leading to increasing revenue.

参考文献 ( 31 ) 〈TOP〉

[6] W. Beckroge, M. Bruse, “ISIS-Traffic, a monitoring model for car induced air pollution in build-up areas,” Science of The Total Environment, Volume 235, Issues 1–3, Pages 371–374, 1 September 1999.
连结：
[8] R. Brugha, J. Grigg, “Urban Air Pollution and Respiratory Infections,” Paediatric Respiratory Reviews, Volume 15, Issue 2, Pages 194–199, June 2014.
连结：
[9] M. Carminati, L. Pedala, E. Bianchi, F. Nason, G. Dubini, L. Cortelezzi, G. Ferrari, M. Sampietro, Capacitive detection of micrometric airborne particulate matter for solid-state personal air quality monitors, Sensors and Actuators A: Physical, Volume 219, Pages 80–87, 1 November 2014.
连结：
[11] R. Chen, B. Hu, Y. Liu, J. Xu, G. Yang, D. Xu, C. Chen, “Beyond PM2.5 : The role of ultrafine particles on adverse health effects of air pollution,” Biochimica et Biophysica Acta (BBA) - General Subjects, Volume 1860, Issue 12, Pages 2844–2855, December 2016.
连结：
[13] L.A. Cox, “Socioeconomic and air pollution correlates of adult asthma, heart attack, and stroke risks in the United States, 2010–2013,” Environmental Research, Volume 155, Pages 92–107, May 2017.
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使用DOI作为永久连结

引用含有DOI的文献

DOI可强化引用精确性、增强学术圈连结，并给予使用者跨平台的良好使用经验，目前在全世界已有超过五千万个对象申请DOI。 如想对DOI的使用与概念有进一步了解，请参考 （ ） 。

DOI可强化引用精确性、增强学术圈连结，并给予使用者跨平台的良好使用经验，目前在全世界已有超过五千万个对象申请DOI。如想对DOI的使用与概念有进一步了解，请参考（）。