Bai-En Shie

Information Systems · 2010–2013

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Bai-En Shie trusts overall

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

  1. Mohammed J. Zaki
  2. Rakesh Agrawal
  3. Jiawei Han
  4. Jian Pei
  5. Ying Liu
  6. Feng Tao
  7. Rayadurgam Srikant

Who trusts Bai-En Shie overall

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

Papers from Bai-En Shie's perspective

Ordered by how strongly the researchers Bai-En Shie 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
  3. Weighted Association Rule Mining using weighted support and significance framework (Knowledge Discovery and Data Mining)
  4. Mining high utility itemsets (Third IEEE International Conference on Data Mining)
  5. Scalable Algorithms for Association Mining
  6. A fast high utility itemsets mining algorithm (UBDM '05)
  7. Mining sequential patterns by pattern-growth: the PrefixSpan approach (IEEE Transactions on Knowledge and Data Engineering)
  8. Isolated items discarding strategy for discovering high utility itemsets (Data & Knowledge Engineering)
  9. Mining gene expression databases for association rules (Bioinform.)
  10. Efficient Tree Structures for High Utility Pattern Mining in Incremental Databases (IEEE Transactions on Knowledge and Data Engineering)

Their papers