W. Lee
Knowledge Discovery and Data Mining · with Chang · 2003
A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Whom W. Lee trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Rakesh Agrawal
- Gurmeet Singh Manku
- Moses Charikar
- Ramesh C. Agarwal
- Rayadurgam Srikant
- Rajeev Motwani
Who trusts W. Lee overall
Papers from W. Lee's perspective
Ordered by how strongly the researchers W. Lee trusts endorse each paper. Same corpus, a different order for every researcher.
- Fast Algorithms for Mining Association Rules
- Finding frequent items in data streams
- Approximate Frequency Counts over Data Streams (Very Large Data Bases Conference)
- Depth first generation of long patterns (Knowledge Discovery and Data Mining)
- Querying and mining data streams: you only get one look a tutorial (ACM SIGMOD Conference)
- Algorithms for Clustering Data
- Pattern classification and scene analysis
- Reducibility Among Combinatorial Problems
- Similarity estimation techniques from rounding algorithms
- ImageNet classification with deep convolutional neural networks
Their papers
- Finding recent frequent itemsets adaptively over online data streams (2003) — 369 citations