Abstract:
Forecasts of daily pollutant levels have become a
standard part of weather predictions in television, on-line, and
in newspapers. Research groups also need to analyses larger
timeframes across more locations to correlate long term
developments for different pollutants with multiple serious
health effects such as asthma. A system for monitoring and
forecasting urban air pollution is presented in this paper. Data
mining is the discovery of interesting, unexpected or valuable
structures in large datasets. Experiments are implemented
with different features groups and collaborative filtering
algorithm in machine learning method for few cities in
Karnataka. The focus of this paper is on the monitoring system
and its forecasting module
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