Davoud Moulavi

Artificial Intelligence · 2013–2015

A researcher in the Science corpus: 3 papers; trusts 11 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

Whom Davoud Moulavi trusts overall

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

  1. Hans-Peter Kriegel
  2. Anil K. Jain
  3. Ricardo José Gabrielli Barreto Campello
  4. Arthur Zimek
  5. Martin Ester
  6. Ujjwal Maulik
  7. Jörg Sander
  8. Bernard Walter Silverman
  9. Lucas Vendramin
  10. Peer Kröger

Who trusts Davoud Moulavi overall

  1. Ricardo José Gabrielli Barreto Campello
  2. Leland McInnes
  3. D. Angelov
  4. John Healy
  5. Jörg Sander
  6. Arthur Zimek
  7. Manuel J. Sánchez-Franco
  8. Peer Kröger
  9. Michael Hahsler
  10. Tim Sainburg

Papers from Davoud Moulavi's perspective

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

  1. LOF: identifying density-based local outliers
  2. Algorithms for Clustering Data
  3. Efficient algorithms for mining outliers from large data sets (ACM SIGMOD Conference)
  4. Angle-based outlier detection in high-dimensional data (Knowledge Discovery and Data Mining)
  5. Density-Based Clustering Based on Hierarchical Density Estimates (Pacific-Asia Conference on Knowledge Discovery and Data Mining)
  6. BIRCH: an efficient data clustering method for very large databases
  7. Pattern Recognition and Machine Learning
  8. Outlier detection by active learning (Knowledge Discovery and Data Mining)
  9. Outlier Detection in Axis-Parallel Subspaces of High Dimensional Data (Pacific-Asia Conference on Knowledge Discovery and Data Mining)
  10. A survey on unsupervised outlier detection in high‐dimensional numerical data (Statistical analysis and data mining)

Their papers