Jay Ayres

Knowledge Discovery and Data Mining · 2002

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Whom Jay Ayres trusts overall

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

  1. Rakesh Agrawal
  2. Douglas Burdick
  3. Mohammed J. Zaki
  4. Jian Pei
  5. Rayadurgam Srikant
  6. Manuel Calimlim
  7. Jiawei Han

Who trusts Jay Ayres overall

  1. Jaroslav M. Fowkes
  2. Carl Mooney
  3. Nizar R. Mabroukeh
  4. Cynthia Rudin
  5. Junfu Yin
  6. Philippe Fournier-Viger
  7. Charles Sutton
  8. Fan Du
  9. Hao Zhong
  10. John F. Roddick

Papers from Jay Ayres's perspective

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

  1. MAFIA: a maximal frequent itemset algorithm for transactional databases (Proceedings / International Conference on Data Engineering)
  2. SPADE: An Efficient Algorithm for Mining Frequent Sequences (Machine-mediated learning)
  3. PrefixSpan,: mining sequential patterns efficiently by prefix-projected pattern growth (Proceedings / International Conference on Data Engineering)
  4. Fast Algorithms for Mining Association Rules in Large Databases
  5. Efficiently mining long patterns from databases
  6. The Nature of Statistical Learning Theory
  7. Fast Discovery of Association Rules
  8. KDD-Cup 2000 organizers' report: peeling the onion (SKDD)
  9. Multi-Interval Discretization of Continuous-Valued Attributes for Classification Learning
  10. A Tutorial on Support Vector Machines for Pattern Recognition

Their papers