David Savage
Artificial Intelligence · with Chou · 2014
A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 16 citations into it
- Computer Networks and Communications — 11 citations into it
- Statistical and Nonlinear Physics — 11 citations into it
- Information Systems — 6 citations into it
Whom David Savage trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Mark Newman
- Markos Markou
- Leman Akoglu
- Christos Faloutsos
- Deepayan Chakrabarti
- Victoria J. Hodge
- Sameer Singh
- Joshua Glasser
- Varun Chandola
- Yang Zhang
Papers from David Savage's perspective
Ordered by how strongly the researchers David Savage trusts endorse each paper. Same corpus, a different order for every researcher.
- Anomaly detection: A survey
- Graph-based anomaly detection (Knowledge Discovery and Data Mining)
- Random graphs with arbitrary degree distributions and their applications. (Physical review. E, Statistical, nonlinear, and soft matter physics)
- Combating Web Spam with TrustRank
- Novelty detection: a review - part 1: statistical approaches
- White Rose Consortium ePrints Repository
- Graph mining: Laws, generators, and algorithms
- Finding community structure in networks using the eigenvectors of matrices. (Physical review. E, Statistical, nonlinear, and soft matter physics)
- oddball: Spotting Anomalies in Weighted Graphs (Pacific-Asia Conference on Knowledge Discovery and Data Mining)
- R-MAT: A Recursive Model for Graph Mining (SDM)
Their papers
- Anomaly detection in online social networks (2014) — 296 citations