Ferenc Bodon

Workshop on Frequent Itemset Mining Implementations · 2003

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 Ferenc Bodon trusts overall

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

  1. Roberto J. Bayardo Jr.
  2. Rakesh Agrawal
  3. Rayadurgam Srikant
  4. Bart Goethals
  5. Jiawei Han

Who trusts Ferenc Bodon overall

  1. Christian Borgelt
  2. Charu C. Aggarwal
  3. Asela Gunawardana
  4. Yan Li

Papers from Ferenc Bodon's perspective

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

  1. Fast Discovery of Association Rules
  2. Efficiently mining long patterns from databases
  3. Fast Algorithms for Mining Association Rules
  4. Mining frequent patterns without candidate generation
  5. Survey on Frequent Pattern Mining
  6. The Nature of Statistical Learning Theory
  7. On Private Scalar Product Computation for Privacy-Preserving Data Mining
  8. Rule Induction with CN2: Some Recent Improvements
  9. k-Anonymity: A Model for Protecting Privacy
  10. Multi-Interval Discretization of Continuous-Valued Attributes for Classification Learning

Their papers