MOA: Massive Online Analysis, a Framework for Stream Classification and Clustering
By Albert Bifet, G. Holmes, Bernhard Pfahringer, Philipp Kranen, Hardy Kremer, Timm Jansen, Thomas Seidl. Workshop on Applications of Pattern Analysis, 2010
304 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/9ae7eabe32996606901621fee3111ad7603947e5
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Jesse Read
- Albert Bifet
- G. Holmes
- Bernhard Pfahringer
- Verónica Álvarez
- Santiago Mazuelas
- José Antonio Lozano
- Min-Ling Zhang
Citations in the corpus
- Minimax Classification under Concept Drift with Multidimensional Adaptation and Performance Guarantees (2022, methodology): “The benchmark datasets can be obtained from UCI repository and from the Massive On-line Analysis library (Bifet et al., 2010).”
- Scalable and efficient multi-label classification for evolving data streams (2012, methodology): “8.”