Baris Güç

Artificial Intelligence · 2008

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Baris Güç trusts

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

  1. Philip S. Yu (in Artificial Intelligence)
  2. Charu C. Aggarwal (in Artificial Intelligence)

Who trusts Baris Güç

  1. Yu Zheng (in Artificial Intelligence)

Papers from Baris Güç's perspective

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

  1. L-diversity: privacy beyond k-anonymity
  2. Protecting Respondents' Identities in Microdata Release
  3. Mondrian Multidimensional K-Anonymity (IEEE International Conference on Data Engineering)
  4. Achieving anonymity via clustering (ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems)
  5. A Condensation Approach to Privacy Preserving Data Mining
  6. Minimality Attack in Privacy Preserving Data Publishing (Very Large Data Bases Conference)
  7. Hiding the presence of individuals from shared databases (ACM SIGMOD Conference)
  8. Never Walk Alone: Uncertainty for Anonymity in Moving Objects Databases (IEEE International Conference on Data Engineering)
  9. Ordinal, Continuous and Heterogeneous k-Anonymity Through Microaggregation (Data mining and knowledge discovery)
  10. On the Complexity of Multiple Sequence Alignment

Their papers