Roberto J. Bayardo Jr.

Artificial Intelligence · 1998–2009

A researcher in the Science corpus: 5 papers; trusts 11 researchers and is trusted by 38 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it; #3,993 of 35,345 by trust here, #8,810 by citations

Whom Roberto J. Bayardo Jr. trusts overall

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

1. Rakesh Agrawal
2. Usama M. Fayyad
3. Latanya Sweeney
4. Tomasz Imielinski
5. Pierangela Samarati
6. Heikki Mannila
7. Rayadurgam Srikant
8. Arun N. Swami
9. R. Caruana
10. Jerome H. Friedman

Who trusts Roberto J. Bayardo Jr. overall

1. Mohammed J. Zaki
2. Charu C. Aggarwal
3. Douglas Burdick
4. Jiawei Han
5. Stephen D. Bay
6. Johannes Gehrke
7. Karam Gouda
8. Ferenc Bodon
9. Jian Pei
10. Xiaokui Xiao

Papers from Roberto J. Bayardo Jr.'s perspective

Ordered by how strongly the researchers Roberto J. Bayardo Jr. trusts endorse each paper. Same corpus, a different order for every researcher.

1. The Nature of Statistical Learning Theory
2. On Private Scalar Product Computation for Privacy-Preserving Data Mining
3. k-Anonymity: A Model for Protecting Privacy
4. Pattern Classification
5. Fast Discovery of Association Rules
6. Multi-Interval Discretization of Continuous-Valued Attributes for Classification Learning
7. Rule Induction with CN2: Some Recent Improvements
8. Protecting Respondents' Identities in Microdata Release
9. Bagging Predictors
10. Efficiently mining long patterns from databases

Their papers

• PLANET: Massively Parallel Learning of Tree Ensembles with MapReduce (2009) — 320 citations
• Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining (2005) — 133 citations
• Data privacy through optimal k-anonymization (2005) — 1,404 citations
• Mining the most interesting rules (1999)
• Efficiently mining long patterns from databases (1998)