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

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publication100th Annual Conference and Exhibition of the Air and Waste Management Association 2007, ACE 2007
PublisherAir and Waste Management Association
Pages2218-2231
Number of pages14
ISBN (Electronic)9781604238464
Publication statusPublished - 2007 Jan 1
Event100th Annual Conference and Exhibition of the Air and Waste Management Association 2007, ACE 2007 - Pittsburgh, United States
Duration: 2007 Jun 262007 Jun 29

Publication series

Name100th Annual Conference and Exhibition of the Air and Waste Management Association 2007, ACE 2007
Volume4

Other

Other100th Annual Conference and Exhibition of the Air and Waste Management Association 2007, ACE 2007
CountryUnited States
CityPittsburgh
Period07-06-2607-06-29

All Science Journal Classification (ASJC) codes

  • Pollution
  • Water Science and Technology
  • Waste Management and Disposal

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