Feng Tao
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 Feng Tao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Feng Tao overall
Papers from Feng Tao's perspective
Ordered by how strongly the researchers Feng Tao trusts endorse each paper. Same corpus, a different order for every researcher.
- Mining All Non-derivable Frequent Itemsets (European Conference on Principles of Data Mining and Knowledge Discovery)
- Efficiently mining long patterns from databases
- Mining association rules between sets of items in large databases
- Fast Algorithms for Mining Association Rules
- Mining frequent patterns with counting inference (SKDD)
- Real world performance of association rule algorithms (Knowledge Discovery and Data Mining)
- Wrappers for Feature Subset Selection
- MetaCost: a general method for making classifiers cost-sensitive
- GloVe: Global Vectors for Word Representation
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Weighted Association Rule Mining using weighted support and significance framework (2003) — 458 citations