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
- Computational Theory and Mathematics — 9 citations into it; #10,603 of 12,182 by trust here, #9,804 by citations
- Information Systems — 9 citations into it; #7,289 of 8,771 by trust here, #7,705 by citations
Whom Byeong-Soo Jeong trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Byeong-Soo Jeong overall
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.
- Fast Algorithms for Mining Association Rules
- A Foundational Approach to Mining Itemset Utilities from Databases (SDM)
- Weighted Association Rule Mining using weighted support and significance framework (Knowledge Discovery and Data Mining)
- Mining association rules between sets of items in large databases
- Mining Frequent Patterns without Candidate Generation: A Frequent-Pattern Tree Approach (Data mining and knowledge discovery)
- Fast algorithms for frequent itemset mining using FP-trees (IEEE Transactions on Knowledge and Data Engineering)
- A Two-Phase Algorithm for Fast Discovery of High Utility Itemsets (Pacific-Asia Conference on Knowledge Discovery and Data Mining)
- A fast high utility itemsets mining algorithm (UBDM '05)
- Isolated items discarding strategy for discovering high utility itemsets (Data & Knowledge Engineering)
- Mining itemset utilities from transaction databases (Data & Knowledge Engineering)
Their papers
- Efficient Tree Structures for High Utility Pattern Mining in Incremental Databases (2009) — 669 citations