Klemens Böhm

Artificial Intelligence · 2012

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Klemens Böhm trusts overall

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

  1. Ian T. Jolliffe
  2. Hans-Peter Kriegel
  3. Rakesh Agrawal
  4. Aleksandar Lazarevic

Who trusts Klemens Böhm overall

  1. Charu C. Aggarwal
  2. Tomás Pevný

Papers from Klemens Böhm's perspective

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

  1. LOF: identifying density-based local outliers
  2. Feature bagging for outlier detection (Knowledge Discovery and Data Mining)
  3. Fast Algorithms for Mining Association Rules
  4. Angle-based outlier detection in high-dimensional data (Knowledge Discovery and Data Mining)
  5. Outlier Detection in Axis-Parallel Subspaces of High Dimensional Data (Pacific-Asia Conference on Knowledge Discovery and Data Mining)
  6. LOCI: fast outlier detection using the local correlation integral (Proceedings / International Conference on Data Engineering)
  7. Interpreting and Unifying Outlier Scores (SDM)
  8. Principal Component Analysis
  9. Principal Component Analysis
  10. Mining distance-based outliers in near linear time with randomization and a simple pruning rule (Knowledge Discovery and Data Mining)

Their papers