Artur Bykowski

Data mining and knowledge discovery · 2004

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Whom Artur Bykowski trusts overall

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

  1. Rakesh Agrawal
  2. Roberto J. Bayardo Jr.

Who trusts Artur Bykowski overall

  1. Jean-François Boulicaut
  2. Siegfried Nijssen

Papers from Artur Bykowski's perspective

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

  1. Efficiently mining long patterns from databases
  2. Mining association rules between sets of items in large databases
  3. Fast Algorithms for Mining Association Rules in Large Databases
  4. The Nature of Statistical Learning Theory
  5. Fast Discovery of Association Rules
  6. On Private Scalar Product Computation for Privacy-Preserving Data Mining
  7. Multi-Interval Discretization of Continuous-Valued Attributes for Classification Learning
  8. k-Anonymity: A Model for Protecting Privacy
  9. Achieving k-Anonymity Privacy Protection Using Generalization and Suppression
  10. Protecting Respondents' Identities in Microdata Release

Their papers