Evolving rule-based classifiers with genetic programming on GPUs for drifting data streams
- 1 March 2019
- journal article
- research article
- Published by Elsevier in Pattern Recognition
- Vol. 87, 248-268
Abstract
No abstract availableKeywords
Funding Information
- VCU
This publication has 52 references indexed in Scilit:
- On-line assurance of interpretability criteria in evolving fuzzy systems – Achievements, new concepts and open issuesInformation Sciences, 2013
- Facing the reality of data stream classification: coping with scarcity of labeled dataKnowledge and Information Systems, 2011
- Advances in data stream miningWIREs Data Mining and Knowledge Discovery, 2011
- Speeding up the evaluation phase of GP classification algorithms on GPUsSoft Computing, 2011
- Handling drifts and shifts in on-line data streams with evolving fuzzy systemsApplied Soft Computing, 2011
- A hybrid decision tree training method using data streamsKnowledge and Information Systems, 2010
- Transfer estimation of evolving class priors in data stream classificationPattern Recognition, 2010
- Open issues in genetic programmingGenetic Programming and Evolvable Machines, 2010
- Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of powerInformation Sciences, 2010
- Learning in the presence of concept drift and hidden contextsMachine Learning, 1996