Mehdi Kaytoue-Uberall

2016

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 Mehdi Kaytoue-Uberall trusts

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

  1. Mohammed J. Zaki (in Information Systems)
  2. Ching-Jui Hsiao (in Information Systems)

Papers from Mehdi Kaytoue-Uberall's perspective

Ordered by how strongly the researchers Mehdi Kaytoue-Uberall trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Efficient algorithms for mining closed itemsets and their lattice structure (IEEE Transactions on Knowledge and Data Engineering)
  2. MAFIA: a maximal frequent itemset algorithm for transactional databases (Proceedings / International Conference on Data Engineering)
  3. The Nature of Statistical Learning Theory
  4. Scalable Algorithms for Association Mining
  5. Mining frequent patterns without candidate generation
  6. Generating non-redundant association rules (Knowledge Discovery and Data Mining)
  7. Mining frequent patterns with counting inference (SKDD)
  8. CLOSET: An Efficient Algorithm for Mining Frequent Closed Itemsets (ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery)
  9. Fast vertical mining using diffsets
  10. Efficiently mining maximal frequent itemsets (Proceedings 2001 IEEE International Conference on Data Mining)

Their papers