Mining concept-drifting data streams using ensemble classifiers
- 24 August 2003
- conference paper
- conference paper
- Published by Association for Computing Machinery (ACM)
Abstract
No abstract availableThis publication has 11 references indexed in Scilit:
- Models and issues in data stream systemsPublished by Association for Computing Machinery (ACM) ,2002
- Continually evaluating similarity-based pattern queries on a streaming time seriesPublished by Association for Computing Machinery (ACM) ,2002
- Continuous queries over data streamsACM SIGMOD Record, 2001
- Mining time-changing data streamsPublished by Association for Computing Machinery (ACM) ,2001
- A streaming ensemble algorithm (SEA) for large-scale classificationPublished by Association for Computing Machinery (ACM) ,2001
- Space-efficient online computation of quantile summariesPublished by Association for Computing Machinery (ACM) ,2001
- Mining high-speed data streamsPublished by Association for Computing Machinery (ACM) ,2000
- BOAT—optimistic decision tree constructionPublished by Association for Computing Machinery (ACM) ,1999
- Neural Networks and the Bias/Variance DilemmaNeural Computation, 1992
- Incremental Induction of Decision TreesMachine Learning, 1989