Yogendra Kumar Jain
2011
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Whom Yogendra Kumar Jain trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Yogendra Kumar Jain overall
Papers from Yogendra Kumar Jain's perspective
Ordered by how strongly the researchers Yogendra Kumar Jain trusts endorse each paper. Same corpus, a different order for every researcher.
- k-Anonymity: A Model for Protecting Privacy
- Data Mining - Concepts and Techniques (Künstliche Intell.)
- Privacy preserving data classification with rotation perturbation (Industrial Conference on Data Mining)
- On the design and quantification of privacy preserving data mining algorithms
- Privacy Preserving Data Mining
- Privacy preserving association rule mining in vertically partitioned data
- L-diversity: privacy beyond k-anonymity
- On Private Scalar Product Computation for Privacy-Preserving Data Mining
- Privacy preserving mining of association rules
- Privacy-preserving k-means clustering over vertically partitioned data
Their papers
- Min Max Normalization Based Data Perturbation Method for Privacy Protection (2011) — 312 citations