Forecasting time series from clustering by a memetic differential fuzzy approach: An application to crime prediction.
Cristian D. Rodriguez RodriguezDiego Mayorga GomezMiguel Alberto Melgarejo-ReyPublished in: SSCI (2017)
Keyphrases
- financial time series
- chaotic time series
- forecasting accuracy
- box jenkins
- exponential smoothing
- short term prediction
- mackey glass
- prediction model
- fuzzy clustering
- arima model
- short term
- grey model
- multivariate time series
- neural network
- clustering algorithm
- moving average
- weather forecasting
- phase space reconstruction
- fuzzy c means clustering
- k means
- stock market
- fuzzy sets
- hybrid model
- clustering method
- fuzzy logic
- neural network model
- stock market prediction
- data mining tasks
- support vector regression
- clustering analysis
- prediction accuracy
- phase space
- categorical data
- unsupervised learning
- fuzzy rules
- self organizing maps
- demand forecasting
- hierarchical clustering
- turning points
- predictive model
- arma model
- streaming time series
- data points
- non stationary
- bp neural network
- data clustering
- failure prediction
- artificial neural networks
- long term
- cluster validity index
- membership functions
- stock price
- financial data
- load forecasting
- outlier detection
- exchange rate
- data mining techniques
- electricity consumption
- particle swarm optimizer
- predictive clustering trees
- autoregressive conditional heteroscedasticity