Stefano Basta

Artificial Intelligence · 2006

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Stefano Basta trusts overall

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

  1. Stephen D. Bay

Papers from Stefano Basta's perspective

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

  1. LOF: identifying density-based local outliers
  2. Distance-based outliers: algorithms and applications (The VLDB journal)
  3. Efficient algorithms for mining outliers from large data sets (ACM SIGMOD Conference)
  4. A Comparative Study of Anomaly Detection Schemes in Network Intrusion Detection
  5. A GEOMETRIC FRAMEWORK FOR UNSUPERVISED ANOMALY DETECTION: DETECTING INTRUSIONS IN UNLABELED DATA
  6. Outlier mining in large high-dimensional data sets (IEEE Transactions on Knowledge and Data Engineering)
  7. Mining distance-based outliers in near linear time with randomization and a simple pruning rule (Knowledge Discovery and Data Mining)
  8. Multidimensional binary search trees used for associative searching
  9. Mining association rules between sets of items in large databases
  10. Fast Outlier Detection in High Dimensional Spaces (European Conference on Principles of Data Mining and Knowledge Discovery)

Their papers