Young-Koo Lee
Computational Theory and Mathematics · with Ahmed · 2009–2010
A researcher in the Science corpus: 2 papers; 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; #10,606 of 12,182 by trust here, #9,804 by citations
- Information Systems — 9 citations into it; #7,292 of 8,771 by trust here, #7,705 by citations
Whom Young-Koo Lee trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Young-Koo Lee overall
Papers from Young-Koo Lee's perspective
Ordered by how strongly the researchers Young-Koo Lee trusts endorse each paper. Same corpus, a different order for every researcher.
- Activity Recognition from User-Annotated Acceleration Data
- Fast Algorithms for Mining Association Rules
- Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
- 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)
- Recognizing human motion with multiple acceleration sensors (2001 IEEE International Conference on Systems, Man and Cybernetics. e-Systems and e-Man for Cybernetics in Cyberspace (Cat.No.01CH37236))
- Activity recognition and monitoring using multiple sensors on different body positions (International Conference on Wearable and Implantable Body Sensor Networks)
- 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)