Title

Data Management Issues and Data Mining of Real Time System Application for Environment Monitoring

DOI

10.6131/MISR.2014.2001.02

Authors

Dinesh Kumar Saini;Sanad Al Maskari

Key Words

Data Management ; Real Time Systems ; Data Mining ; Environment Monitoring Systems

PublicationName

MIS REVIEW:An International Journal

Volume or Term/Year and Month of Publication

20卷1期(2014 / 09 / 01)

Page #

31 - 43

Content Language

英文

English Abstract

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.

Topic Category 基礎與應用科學 > 資訊科學
社會科學 > 管理學
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