Fan Dong

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 32 citations into it
• Signal Processing — 9 citations into it
• Management Science and Operations Research — 5 citations into it

Whom Fan Dong trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Albert Bifet
2. João Gama
3. Jaka Demsar
4. Jadzia Cendrowska
5. Pedro M. Domingos
6. Gregory Ditzler

Papers from Fan Dong's perspective

Ordered by how strongly the researchers Fan Dong trusts endorse each paper. Same corpus, a different order for every researcher.

1. Learning in the Presence of Concept Drift and Hidden Contexts
2. Mining high-speed data streams
3. Mining time-changing data streams
4. Learning with Drift Detection
5. Statistical Comparisons of Classifiers over Multiple Data Sets
6. New ensemble methods for evolving data streams
7. Learning from Time-Changing Data with Adaptive Windowing (SDM)
8. Leveraging Bagging for Evolving Data Streams (ECML/PKDD)
9. MOA: Massive Online Analysis
10. Detecting Change in Data Streams

Their papers

• Learning under Concept Drift: A Review (2019) — 1,857 citations