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題名 Data Management Issues and Data Mining of Real Time System Application for Environment Monitoring
作者 Saini, Dinesh Kumar;Maskari, Sanad Al
關鍵詞 Data Management;Real Time Systems;Data Mining;Environment Monitoring Systems
日期 2014-09
上傳時間 16-Aug-2016 16:22:22 (UTC+8)
摘要 Environment pollution monitoring and control is very big problem for the whole world. Taking decision in the environment is becoming more challenging. The aim of this paper is to present the challenges surrounding environmental data sets and to address these in order to develop solutions. Environmental data sets present a number of data management challenges including data collection, integration, quality and data mining. Environment data sets are also very dynamic and this presents additional challenges ranging from data gathering to data integration, particularly as these data sets are normally very large and expanding continuously. Statistical methods are very effective and economical way to analyze small, static data sets but they are not applicable for dynamic, real-time and large data sets. The use of data mining methods to discover hidden knowledge in large datasets therefore presents great potential to improve environmental management decisions. A representative environmental data set from quantitative air quality monitoring instruments has been assessed and will be used to demonstrate some of the issues in applying data mining approaches to poor data quality.
關聯 資管評論, 20(1), 31-43
MIS review
資料類型 article
DOI http://dx.doi.org/10.6131/MISR.2014.2001.02
dc.creator (作者) Saini, Dinesh Kumar;Maskari, Sanad Al
dc.date (日期) 2014-09
dc.date.accessioned 16-Aug-2016 16:22:22 (UTC+8)-
dc.date.available 16-Aug-2016 16:22:22 (UTC+8)-
dc.date.issued (上傳時間) 16-Aug-2016 16:22:22 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/100317-
dc.description.abstract (摘要) Environment pollution monitoring and control is very big problem for the whole world. Taking decision in the environment is becoming more challenging. The aim of this paper is to present the challenges surrounding environmental data sets and to address these in order to develop solutions. Environmental data sets present a number of data management challenges including data collection, integration, quality and data mining. Environment data sets are also very dynamic and this presents additional challenges ranging from data gathering to data integration, particularly as these data sets are normally very large and expanding continuously. Statistical methods are very effective and economical way to analyze small, static data sets but they are not applicable for dynamic, real-time and large data sets. The use of data mining methods to discover hidden knowledge in large datasets therefore presents great potential to improve environmental management decisions. A representative environmental data set from quantitative air quality monitoring instruments has been assessed and will be used to demonstrate some of the issues in applying data mining approaches to poor data quality.
dc.format.extent 519281 bytes-
dc.format.mimetype application/pdf-
dc.relation (關聯) 資管評論, 20(1), 31-43
dc.relation (關聯) MIS review
dc.subject (關鍵詞) Data Management;Real Time Systems;Data Mining;Environment Monitoring Systems
dc.title (題名) Data Management Issues and Data Mining of Real Time System Application for Environment Monitoring
dc.type (資料類型) article
dc.identifier.doi (DOI) 10.6131/MISR.2014.2001.02
dc.doi.uri (DOI) http://dx.doi.org/10.6131/MISR.2014.2001.02