Loredana Parasiliti Provenza
Artificial Intelligence · 2004–2005
A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 22 citations into it; #18,235 of 35,345 by trust here, #14,718 by citations
- Privacy & Security — 9 citations into it
Whom Loredana Parasiliti Provenza trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Loredana Parasiliti Provenza overall
Papers from Loredana Parasiliti Provenza's perspective
Ordered by how strongly the researchers Loredana Parasiliti Provenza trusts endorse each paper. Same corpus, a different order for every researcher.
- On the design and quantification of privacy preserving data mining algorithms
- Privacy preserving association rule mining in vertically partitioned data
- Secure multi-party computation problems and their applications: a review and open problems
- Privacy Preserving Data Mining
- Building decision tree classifier on private data
- Using unknowns to prevent discovery of association rules (SGMD)
- Association rule hiding (IEEE Transactions on Knowledge and Data Engineering)
- Privacy-Preserving Datamining on Vertically Partitioned Databases
- Privacy preserving frequent itemset mining
- State-of-the-art in privacy preserving data mining
Their papers
- A Framework for Evaluating Privacy Preserving Data Mining Algorithms* (2005) — 224 citations
- State-of-the-art in privacy preserving data mining (2004) — 996 citations