Learning in the presence of concept drift and hidden contexts

1996/04/01 by Gerhard Widmer, Miroslav Kubát, Miroslav Kubat · 6 citations
Computer Science · Engineering · #Artificial intelligence #Computer science #Concept drift #Context (archaeology) #Data Stream Mining Techniques #Data stream mining #Engineering #Heuristic #Machine Learning and Algorithms #Machine Learning and Data Classification #Machine learning #Noise (video) #Reuse #Theoretical computer science

paper · pdf · doi:10.1007/bf00116900

crossref issued 1996/04/01 · crossref published 1996/04/01 · crossref published-print 1996/04/01 · openalex publication_date 1996/04/01 · crossref created 2004/11/01 · crossref deposited 2019/04/08 · openalex created_date 2025/10/10 · crossref indexed 2026/07/11 · openalex updated_date 2026/07/23

Citations

• Learnability and the Vapnik-Chervonenkis dimension
• A theory of the learnable
• Rough sets

Cited by

• Data-driven Soft Sensors in the process industry
• Ensemble learning for data stream analysis: A survey
• Learning under Concept Drift: A Review
• Incremental Learning of Concept Drift in Nonstationary Environments
• Learned lessons in credit card fraud detection from a practitioner perspective
• Concept drift [wikipedia]