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dc.contributorMulti-disciplinary Studiesen_US
dc.contributorDepartment of Computingen_US
dc.creatorAu, Sze-wan Sandra-
dc.identifier.urihttps://theses.lib.polyu.edu.hk/handle/200/1313-
dc.languageEnglishen_US
dc.publisherHong Kong Polytechnic University-
dc.rightsAll rights reserveden_US
dc.titleWeb-based spatial data mining on air pollution meteorologyen_US
dcterms.abstractThis paper applies spatial data mining and agent technologies to investigate the serious air pollution in Hong Kong. This project attempts to assess the air pollutants' concentration and meteorological information through routine collection of data from the Web in order to analyze the effects of different components. With the advance changes in Information Technologies, the impact of air pollution meteorological condition and air pollutants can be investigated by means of spatial data mining technologies. Besides, since most of the air pollution meteorological data is available on the Web, agent technology can be applied in this project. Spatial data mining can be used for discovering spatial relationships and relationships between spatial and non-spatial data and optimising spatial queries. Agent technology can be applied to control the communication between different parts of the system. A prototype will be constructed in this project in order to illustrate the feasibility of the spatial data mining and agent technologies applied in the investigation on air pollution meteorology. Besides, from the result of the prototype, the relationship between the air pollution meteorological data and air pollutants can be found.en_US
dcterms.extent87, [66] p. : ill. (some col.), col. maps ; 31 cmen_US
dcterms.isPartOfPolyU Electronic Thesesen_US
dcterms.issued2000en_US
dcterms.educationalLevelAll Masteren_US
dcterms.educationalLevelM.Sc.en_US
dcterms.LCSHAir -- Pollution -- China -- Hong Kongen_US
dcterms.LCSHData mining -- China -- Hong Kongen_US
dcterms.LCSHInterneten_US
dcterms.LCSHHong Kong Polytechnic University -- Dissertationsen_US
dcterms.accessRightsrestricted accessen_US

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Please use this identifier to cite or link to this item: https://theses.lib.polyu.edu.hk/handle/200/1313