The research of categorizing the CEMS monitoring data as a data warehouse

Ting-Ke Tseng, L. Chung, C. C. Chou

研究成果: Conference contribution

摘要

A CEMS (Continuous Emission Monitoring System) is a package of equipment monitoring the stack emission all day. The central database with a friendly data query interface could be successfully established via receiving monitoring data from the CEMS equipment. However the central database can't support a strategic decision without categorizing the monitoring data, for example we would like to know factors of stack emission predictor. This paper is a research of categorizing the CEMS monitoring data as a data warehouse and surveying data mining system. We design a schema of the data warehouse according to characteristics of the CEMS monitoring data, and then we accomplish data transformations during the process of extracting data from the source data and establish a regional CEMS data warehouse. By using neural network mining techniques and considering the characteristics of the monitoring data, we try to find out useful factors of stack emission predictor. We using the most famous mining tool-the "IBM Intelligent Miner" as our mining tool. The mining result shows whether training or testing predict results that highly correlate with the original data.

原文English
主出版物標題100th Annual Conference and Exhibition of the Air and Waste Management Association 2007, ACE 2007
發行者Air and Waste Management Association
頁面2218-2231
頁數14
ISBN(電子)9781604238464
出版狀態Published - 2007 1月 1
事件100th Annual Conference and Exhibition of the Air and Waste Management Association 2007, ACE 2007 - Pittsburgh, United States
持續時間: 2007 6月 262007 6月 29

出版系列

名字100th Annual Conference and Exhibition of the Air and Waste Management Association 2007, ACE 2007
4

Other

Other100th Annual Conference and Exhibition of the Air and Waste Management Association 2007, ACE 2007
國家/地區United States
城市Pittsburgh
期間07-06-2607-06-29

All Science Journal Classification (ASJC) codes

  • 污染
  • 水科學與技術
  • 廢物管理和處置

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