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HADOOP-BASED DISTRIBUTED SYSTEM FOR ONLINE PREDICTION OF AIR POLLUTION BASED ON SUPPORT VECTOR MACHINE
2015
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
The critical impact of air pollution on human health and environment in one hand and the complexity of pollutant concentration behavior in the other hand lead the scientists to look for advance techniques for monitoring and predicting the urban air quality. Additionally, recent developments in data measurement techniques have led to collection of various types of data about air quality. Such data is extremely voluminous and to be useful it must be processed at high velocity. Due to the
doi:10.5194/isprsarchives-xl-1-w5-215-2015
fatcat:cyib2ij3ifczpdgwaxrrnnnarq