Fabrizio Angiulli

Artificial Intelligence · 2002–2006

A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

Whom Fabrizio Angiulli trusts overall

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

  1. Rajeev Rastogi
  2. Tian Zhang
  3. Stephen D. Bay
  4. Kyuseok Shim
  5. Raghu Ramakrishnan
  6. Carla E. Brodley
  7. Donald Ervin Knuth
  8. Mark Schwabacher
  9. Jiawei Han
  10. Raymond T. Ng

Who trusts Fabrizio Angiulli overall

  1. Arthur Zimek
  2. Charu C. Aggarwal
  3. Rfdo 2XWOLHUV
  4. Hans-Peter Kriegel
  5. Markus Goldstein
  6. Erich Schubert
  7. Ailin Deng
  8. Stephen D. Bay
  9. Mennatallah Amer
  10. Xiaoyi Gu

Papers from Fabrizio Angiulli's perspective

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

  1. LOF: identifying density-based local outliers
  2. Efficient algorithms for mining outliers from large data sets (ACM SIGMOD Conference)
  3. BIRCH: an efficient data clustering method for very large databases
  4. Distance-based outliers: algorithms and applications (The VLDB journal)
  5. On-Line Unsupervised Outlier Detection Using Finite Mixtures with Discounting Learning Algorithms (Knowledge Discovery and Data Mining)
  6. When Is ''Nearest Neighbor'' Meaningful?
  7. A GEOMETRIC FRAMEWORK FOR UNSUPERVISED ANOMALY DETECTION: DETECTING INTRUSIONS IN UNLABELED DATA
  8. Outlier mining in large high-dimensional data sets (IEEE Transactions on Knowledge and Data Engineering)
  9. A Comparative Study of Anomaly Detection Schemes in Network Intrusion Detection
  10. Mining distance-based outliers in near linear time with randomization and a simple pruning rule (Knowledge Discovery and Data Mining)

Their papers