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Data Mining Air Quality Data for Athens, Greece

Authors
Efraimidou, Melina (MSc Programme on Advanced Systems on Computers and Telecommunications, Dept. of Electrical and Computer Engineering)
Search for Melina Efraimidou in Research Programmes Information System
Kanaki, Maria (MSc Programme on Advanced Systems on Computers and Telecommunications, Dept. of Electrical and Computer Engineering)
Search for Maria Kanaki in Research Programmes Information System
Athanasiadis, Ioannis (IDSIA - Istituto Dalle Molle di Studi sull'Intelligenza Artificiale Galleria 2)
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Mitkas, Pericles (Dept. of Electrical and Computer Engineering, Aristotle University)
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Karatzas, Kostas (Dept. of Mechanical Engineering, Aristotle University)
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Chapter Data Mining
Volume Managing Environmental Knowledge
Conference Managing Environmental Knowledge
Graz, 2006
Year 2006
Abstract of the Article
Urban air quality management and information systems are required to include advanced capabilities of quick, effective and easy to operate environmental data analysis applications, for information extraction and analysis and for the support of decision making. These systems are based on the need of city authorities and national governments to establish a framework which enables them to take actions, in order to ensure that air quality is improved and relevant standards are maintained in urban areas. In this context, quantitative data-driven decision support models are challenged by the difficulties in handling dynamic and uncertain features of real-world environmental systems. In addition, conditions for environmental management keep changing with time, demanding periodically updated decision support. These properties can be realized by learning from environmental data, using knowledge discovery techniques. In the present paper, data mining techniques are applied for data analysis and for the construction of forecasting modules towards decision making, on the basis of selected air quality information for Athens, Greece. Conclusions are drawn concerning the performance of algorithms, and for the research to be conducted in the future.
Pages 505 - 508
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