Nikos Mamoulis

Artificial Intelligence · 2003–2009

A researcher in the Science corpus: 8 papers; trusts 40 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 54 citations into it; #14,834 of 35,345 by trust here, #19,018 by citations
• Sociology and Political Science — 16 citations into it; #19,865 of 22,756 by trust here, #19,300 by citations
• Privacy & Security — 9 citations into it
• Signal Processing — 9 citations into it; #2,139 of 7,572 by trust here, #2,052 by citations
• Computer Networks and Communications — 8 citations into it; #3,548 of 9,886 by trust here, #5,340 by citations
• Information Systems — 8 citations into it; #2,576 of 8,771 by trust here, #2,604 by citations
• Computer Science Applications — 5 citations into it; #1,588 of 1,855 by trust here, #1,469 by citations

Whom Nikos Mamoulis trusts overall

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

1. Latanya Sweeney
2. Kristen LeFevre
3. Pierangela Samarati
4. Rakesh Agrawal
5. Vijay S. Iyengar
6. Martin Ester
7. Roberto J. Bayardo Jr.
8. Hans-Peter Kriegel
9. Jiawei Han
10. Eamonn J. Keogh

Who trusts Nikos Mamoulis overall

1. Yu Zheng
2. Gowtham Atluri
3. Hoyoung Jeung
4. Manolis Terrovitis
5. Ninghui Li
6. Anuj Karpatne
7. Xiaofang Zhou
8. Fosca Giannotti
9. Tiancheng Li
10. Zhenhui Jessie Li

Papers from Nikos Mamoulis's perspective

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

1. k-Anonymity: A Model for Protecting Privacy
2. Protecting Respondents' Identities in Microdata Release
3. On the complexity of optimal K-anonymity (ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems)
4. L-diversity: privacy beyond k-anonymity
5. Incognito: efficient full-domain K-anonymity (ACM SIGMOD Conference)
6. Privacy Preserving Data Mining
7. A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise
8. Fast Algorithms for Mining Association Rules
9. Privacy preserving mining of association rules
10. Transforming data to satisfy privacy constraints (Knowledge Discovery and Data Mining)

Their papers

• Privacy-preserving anonymization of set-valued data (2008) — 356 citations
• Secure kNN computation on encrypted databases (2009) — 985 citations
• Privacy Preservation in the Publication of Trajectories (2008) — 331 citations
• Fast Data Anonymization with Low Information Loss (2007) — 358 citations
• On Discovering Moving Clusters in Spatio-temporal Data (2005) — 490 citations
• Mining frequent spatio-temporal sequential patterns (2005) — 331 citations
• Mining, indexing, and querying historical spatiotemporal data (2004) — 329 citations
• Query Processing in Spatial Network Databases (2003) — 716 citations