關鍵字查詢 | 類別:會議論文 | | 關鍵字:Using Data Mining Techniques to Identify Enterprises with High Water Pollution Potential

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序號 學年期 教師動態
1 108/1 企管系 羅惠瓊 副教授 會議論文 發佈 Using Data Mining Techniques to Identify Enterprises with High Water Pollution Potential , [108-1] :Using Data Mining Techniques to Identify Enterprises with High Water Pollution Potential會議論文Using Data Mining Techniques to Identify Enterprises with High Water Pollution PotentialH.C. Lo; Y.Y. Huang; L.S. HuIndustrial Waste Pollution;Logistic Regression;Neural NetworkTo stop environmental pollution caused by improper wastewater discharges, the related enterprises are required to regularly report the water monitoring data via Internet. To make sure the data submitted are in good quality, the inspectors are arranged to carry out the checkup on site either through random samplings or the appeals and reports from the public. Those enterprises violating the regulations thus make improvements as per the inspection results. However, in view of the limited manpower, the environmental control institutions will not be able to detect all the violators immediately if simply random samplings are applied. It is, therefore, an important issue to effectively and at the primal time to single out the e
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