Stephen D. Bay

Algorithms & Complexity · 1999–2003

A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 33 researchers here, as inferred from the citation graph.

Subfields

• Algorithms & Complexity — 7 citations into it
• Artificial Intelligence — 6 citations into it; #6,580 of 35,345 by trust here, #17,776 by citations

Whom Stephen D. Bay trusts overall

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

1. Rakesh Agrawal
2. Roberto J. Bayardo Jr.
3. Rayadurgam Srikant
4. J. Shaffer
5. B. Liu
6. Fabrizio Angiulli
7. Guozhu Dong
8. Raymond T. Ng
9. Wynne Hsu
10. Michael J. Pazzani

Who trusts Stephen D. Bay overall

1. Fei Tony Liu
2. Charu C. Aggarwal
3. Petra Kralj Novak
4. Tomás Pevný
5. Albrecht Zimmermann
6. Arthur Zimek
7. Hongzhi Wang
8. Leman Akoglu
9. Ninghao Liu
10. Andrew Cook

Papers from Stephen D. Bay's perspective

Ordered by how strongly the researchers Stephen D. Bay trusts endorse each paper. Same corpus, a different order for every researcher.

1. Fast Algorithms for Mining Association Rules
2. Efficiently mining long patterns from databases
3. Mining association rules between sets of items in large databases
4. The Nature of Statistical Learning Theory
5. Mining quantitative association rules in large relational tables
6. Categorical Data Analysis
7. Multidimensional binary search trees used for associative searching
8. Post-Analysis of Learned Rules
9. LOF: identifying density-based local outliers
10. Distance-based outliers: algorithms and applications (The VLDB journal)

Their papers

• Detecting Group Differences: Mining Contrast Sets (2001) — 443 citations
• Mining distance-based outliers in near linear time with randomization and a simple pruning rule (2003) — 748 citations
• Detecting change in categorical data: mining contrast sets (1999)