Tomás Feder

ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems · 1997–2006

A researcher in the Science corpus: 3 papers; trusts 0 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Whom Tomás Feder trusts overall

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

1. Adam Meyerson
2. Ashwin Machanavajjhala
3. Anil K. Jain

Who trusts Tomás Feder overall

1. Charu C. Aggarwal
2. Rahaf Aljundi
3. Manolis Terrovitis
4. Kristen LeFevre
5. Philip S. Yu
6. Nikos Mamoulis
7. Xiaokui Xiao
8. Raymond Chi-Wing Wong
9. Efrén Cruz Cortés
10. Erhan Gokcay

Papers from Tomás Feder's perspective

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

1. Algorithms for Clustering Data
2. L-diversity: privacy beyond k-anonymity
3. Pattern classification and scene analysis
4. Incognito: efficient full-domain K-anonymity (ACM SIGMOD Conference)
5. Primal-dual approximation algorithms for metric facility location and k-median problems
6. Toward Privacy in Public Databases
7. Data privacy through optimal k-anonymization (IEEE International Conference on Data Engineering)
8. The NP-Completeness Column: An Ongoing Guide
9. Clustering to Minimize the Maximum Intercluster Distance
10. Revealing information while preserving privacy

Their papers

• Achieving anonymity via clustering (2006) — 405 citations
• Anonymizing Tables (2005) — 345 citations
• Incremental clustering and dynamic information retrieval (1997)