Jing Wang

Knowledge Discovery and Data Mining · with Aggarwal · 2009

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Jing Wang trusts overall

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

1. Roberto J. Bayardo Jr.

Papers from Jing Wang's perspective

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

1. Efficiently mining long patterns from databases
2. Fast Algorithms for Mining Association Rules in Large Databases
3. A fast APRIORI implementation (Workshop on Frequent Itemset Mining Implementations)
4. Fast Discovery of Association Rules
5. The Nature of Statistical Learning Theory
6. On Private Scalar Product Computation for Privacy-Preserving Data Mining
7. k-Anonymity: A Model for Protecting Privacy
8. Rule Induction with CN2: Some Recent Improvements
9. Multi-Interval Discretization of Continuous-Valued Attributes for Classification Learning
10. Achieving k-Anonymity Privacy Protection Using Generalization and Suppression

Their papers

• Frequent pattern mining with uncertain data (2009) — 354 citations