Byoung-Kee Yi

Very Large Data Bases Conference · 2000

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Byoung-Kee Yi trusts overall

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

  1. Peter J. Rousseeuw
  2. Rakesh Agrawal

Who trusts Byoung-Kee Yi overall

  1. Jessica Lin
  2. Eamonn J. Keogh
  3. Yunyue Zhu
  4. Tak-Chung Fu
  5. Pablo Montero
  6. Philippe Esling
  7. Lei Chen
  8. Dennis E. Shasha
  9. Ivan Popivanov
  10. Chotirat (Ann) Ratanamahatana

Papers from Byoung-Kee Yi's perspective

Ordered by how strongly the researchers Byoung-Kee Yi trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Robust Regression and Outlier Detection (Wiley Series in Probability and Statistics)
  2. Mining association rules between sets of items in large databases
  3. Fast Algorithms for Mining Association Rules in Large Databases
  4. Γ and B
  5. A Fast Algorithm for the Minimum Covariance Determinant Estimator
  6. Algorithms for Clustering Data
  7. A Projection Pursuit Algorithm for Exploratory Data Analysis
  8. Analyse canonique basée sur des estimateurs robustes de la matrice de covariance
  9. MULTIVARIATE REGRESSION S-ESTIMATORS FOR ROBUST ESTIMATION AND INFERENCE
  10. Breakdown and groups

Their papers