John Forrest

Artificial Intelligence · 2015–2017

A researcher in the Science corpus: 3 papers; trusts 27 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom John Forrest trusts overall

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

  1. Dirk Eddelbuettel
  2. Anil K. Jain
  3. David Ruppert
  4. Kurt Hornik
  5. Jeffrey Scott Vitter
  6. Michael Hahsler
  7. Martin Ester
  8. Pedro M. Domingos
  9. Mohamed Medhat Gaber
  10. João Gama

Papers from John Forrest's perspective

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

  1. Mining high-speed data streams
  2. Algorithms for Clustering Data
  3. A Framework for Clustering Evolving Data Streams
  4. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  5. A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise
  6. Mining association rules between sets of items in large databases
  7. BIRCH: an efficient data clustering method for very large databases
  8. StatStream: Statistical Monitoring of Thousands of Data Streams in Real Time (Very Large Data Bases Conference)
  9. Statistical Models in S
  10. Random sampling with a reservoir

Their papers