A. Scott Patterson

Artificial Intelligence · 2005

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it; #34,842 of 35,345 by trust here, #20,377 by citations

Whom A. Scott Patterson trusts overall

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

1. Jaideep Vaidya

Who trusts A. Scott Patterson overall

1. Jaideep Vaidya

Papers from A. Scott Patterson's perspective

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

1. On Private Scalar Product Computation for Privacy-Preserving Data Mining
2. Efficient Private Matching and Set Intersection
3. Privacy preserving association rule mining in vertically partitioned data
4. Pattern classification and scene analysis
5. Privacy Preserving Naïve Bayes Classifier for Vertically Partitioned Data
6. Deriving private information from randomized data (ACM SIGMOD Conference)
7. Privacy-preserving distributed mining of association rules on horizontally partitioned data
8. Privacy-preserving k-means clustering over vertically partitioned data
9. On the design and quantification of privacy preserving data mining algorithms
10. Efficient oblivious transfer protocols

Their papers

• Privacy-preserving decision trees over vertically partitioned data (2005) — 310 citations