Mohsen M. Farid

Knowledge Discovery and Data Mining · 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 Mohsen M. Farid trusts overall

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

  1. Toon Calders

Papers from Mohsen M. Farid's perspective

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

  1. Mining All Non-derivable Frequent Itemsets (European Conference on Principles of Data Mining and Knowledge Discovery)
  2. Efficiently mining long patterns from databases
  3. Mining association rules between sets of items in large databases
  4. Fast Algorithms for Mining Association Rules
  5. Mining frequent patterns with counting inference (SKDD)
  6. Real world performance of association rule algorithms (Knowledge Discovery and Data Mining)
  7. Wrappers for Feature Subset Selection
  8. MetaCost: a general method for making classifiers cost-sensitive
  9. GloVe: Global Vectors for Word Representation
  10. Efficient Estimation of Word Representations in Vector Space

Their papers