BRIGHT—Drift-Aware Demand Predictions for Taxi Networks
- 5 December 2018
- journal article
- research article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Knowledge and Data Engineering
- Vol. 32 (2) , 234-245
Abstract
No abstract availableKeywords
Funding Information
- Deutsche Forschungsgemeinschaft
- Portuguese national funds (UID/EEA/50014/2013)
This publication has 23 references indexed in Scilit:
- SCRAM2015
- A survey on concept drift adaptationACM Computing Surveys, 2014
- Event labeling combining ensemble detectors and background knowledgeProgress in Artificial Intelligence, 2013
- From taxi GPS traces to social and community dynamicsACM Computing Surveys, 2013
- On evaluating stream learning algorithmsMachine Learning, 2012
- Urban Traffic Modelling and Prediction Using Large Scale Taxi GPS Traces2012
- Learning model trees from evolving data streamsData Mining and Knowledge Discovery, 2010
- Decentralized control of the Tennessee Eastman Challenge ProcessJournal of Process Control, 1996
- Probability Inequalities for Sums of Bounded Random VariablesJournal of the American Statistical Association, 1963
- Continuous Inspection SchemesBiometrika, 1954