An investigation into machine learning approaches for forecasting spatio-temporal demand in ride-hailing service.
Ismaïl SaadiMelvin WongBilal FarooqJacques TellerMario CoolsPublished in: CoRR (2017)
Keyphrases
- machine learning approaches
- spatio temporal
- machine learning methods
- demand forecasting
- spatial and temporal
- machine learning
- machine learning models
- service providers
- web services
- moving objects
- service oriented
- machine learning algorithms
- spatio temporal data
- question classification
- image sequences
- short term
- electricity markets
- space time
- service requirements
- spatio temporal databases
- service discovery
- service quality
- prediction model
- management system
- service composition
- video sequences
- lead time
- forecasting model
- data mining methods
- databases
- data analysis
- decision trees
- grey model