A new fuzzy time series model based on robust clustering for forecasting of air pollution.
Nevin Güler DincerÖzge AkkusPublished in: Ecol. Informatics (2018)
Keyphrases
- air pollution
- fuzzy clustering
- clustering algorithm
- weather forecasting
- air quality
- clustering method
- fuzzy sets
- data mining tasks
- forecasting accuracy
- multivariate time series
- financial time series
- fuzzy logic
- k means
- short term
- membership functions
- traffic volume
- data mining
- exponential smoothing
- clustering analysis
- categorical data
- autoregressive
- stock market
- fuzzy rules