Cheng-Wei Wu

Information Systems · IEEE Transactions on Knowledge and Data Engineering · 2010–2014

A researcher in the Science corpus: 4 papers; trusts 14 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Cheng-Wei Wu trusts overall

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

  1. Rakesh Agrawal
  2. Ying Liu
  3. Mengchi Liu
  4. Jiawei Han
  5. Yu-Chiang Li
  6. Mohammed J. Zaki
  7. Chowdhury Farhan Ahmed
  8. Jian Pei
  9. Rayadurgam Srikant
  10. W. Liao

Who trusts Cheng-Wei Wu overall

  1. Mengchi Liu
  2. Philippe Fournier-Viger
  3. Jun-Feng Qu
  4. Junfu Yin

Papers from Cheng-Wei Wu's perspective

Ordered by how strongly the researchers Cheng-Wei Wu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Fast Algorithms for Mining Association Rules
  2. Mining Frequent Patterns without Candidate Generation: A Frequent-Pattern Tree Approach (Data mining and knowledge discovery)
  3. A fast high utility itemsets mining algorithm (UBDM '05)
  4. A Two-Phase Algorithm for Fast Discovery of High Utility Itemsets (Pacific-Asia Conference on Knowledge Discovery and Data Mining)
  5. Mining frequent patterns without candidate generation
  6. Weighted Association Rule Mining using weighted support and significance framework (Knowledge Discovery and Data Mining)
  7. Mining high utility itemsets (Third IEEE International Conference on Data Mining)
  8. Isolated items discarding strategy for discovering high utility itemsets (Data & Knowledge Engineering)
  9. Efficient Tree Structures for High Utility Pattern Mining in Incremental Databases (IEEE Transactions on Knowledge and Data Engineering)
  10. Fast Algorithms for Mining Association Rules in Large Databases

Their papers