A Novel Application of Spatial Data Mining in Air Pollution
S. Sathappan, Divya Tomar · IJITR International Journal of Innovative Technology and Research - IJITR International Journal of Innovative Technology and Research · 2016
Spatial Data Mining is an exploratory process aimed at discovering hidden patterns from spatial data.The extracted knowledge can be used to perform efficient spatial prediction.It allows taking advantage of the growing availability of geographically referenced data and their potential richness.Spatial data mining techniques can be applied to various fields' namely health care, metrological data, traffic analysis, customer intelligence, transport management, urban planning and utilities industry.This paper proposes to support spatial data mining techniques of air pollution.A web based system is proposed to investigate the effect of meteorological and air pollutant elements on air pollution.It majorly consists of the collection, transformation and query and mining elements.The collecting element helps providing access to collection of data.The transformers convert the data into the required format and the query and mining element provide an interface to the user, for querying and mining requests and provide the results.