Byeong-Soo Jeong

Computational Theory and Mathematics · 2009

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Byeong-Soo Jeong trusts overall

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

  1. Ying Liu

Who trusts Byeong-Soo Jeong overall

  1. Mengchi Liu

Papers from Byeong-Soo Jeong's perspective

Ordered by how strongly the researchers Byeong-Soo Jeong trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Fast Algorithms for Mining Association Rules
  2. A Foundational Approach to Mining Itemset Utilities from Databases (SDM)
  3. Weighted Association Rule Mining using weighted support and significance framework (Knowledge Discovery and Data Mining)
  4. Mining association rules between sets of items in large databases
  5. Mining Frequent Patterns without Candidate Generation: A Frequent-Pattern Tree Approach (Data mining and knowledge discovery)
  6. Fast algorithms for frequent itemset mining using FP-trees (IEEE Transactions on Knowledge and Data Engineering)
  7. A Two-Phase Algorithm for Fast Discovery of High Utility Itemsets (Pacific-Asia Conference on Knowledge Discovery and Data Mining)
  8. A fast high utility itemsets mining algorithm (UBDM '05)
  9. Isolated items discarding strategy for discovering high utility itemsets (Data & Knowledge Engineering)
  10. Mining itemset utilities from transaction databases (Data & Knowledge Engineering)

Their papers