Jayant R. Haritsa

Artificial Intelligence · 2000–2008

A researcher in the Science corpus: 4 papers; trusts 29 researchers and is trusted by 46 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 35 citations into it; #4,147 of 35,345 by trust here, #10,319 by citations
• Information Systems — 14 citations into it; #1,358 of 8,771 by trust here, #2,912 by citations
• Algorithms & Complexity — 12 citations into it
• Privacy & Security — 9 citations into it
• Statistics and Probability — 6 citations into it
• Management Science and Operations Research — 5 citations into it; #3,003 of 11,946 by trust here, #6,024 by citations

Whom Jayant R. Haritsa trusts overall

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

1. Rakesh Agrawal
2. Rayadurgam Srikant
3. Alexandre V. Evfimievski
4. Jaideep Vaidya
5. Shariq Rizvi
6. Chris Clifton
7. Shipra Agrawal
8. Elena Dasseni
9. Vassilios S. Verykios
10. Charu C. Aggarwal

Who trusts Jayant R. Haritsa overall

1. Mohammed J. Zaki
2. Charu C. Aggarwal
3. Michihiro Kuramochi
4. Murat Kantarcioglu
5. Fatih Emekçi
6. Wenliang Du
7. Jaideep Vaidya
8. Philip S. Yu
9. Elisa Bertino
10. Shipra Agrawal

Papers from Jayant R. Haritsa's perspective

Ordered by how strongly the researchers Jayant R. Haritsa trusts endorse each paper. Same corpus, a different order for every researcher.

1. Fast Algorithms for Mining Association Rules
2. On the design and quantification of privacy preserving data mining algorithms
3. Maintaining Data Privacy in Association Rule Mining
4. Privacy preserving mining of association rules
5. On Private Scalar Product Computation for Privacy-Preserving Data Mining
6. Privacy Preserving Data Mining
7. ImageNet classification with deep convolutional neural networks
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. Privacy-preserving distributed mining of association rules on horizontally partitioned data
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Maintaining Data Privacy in Association Rule Mining (2002) — 572 citations
• Turbo-charging vertical mining of large databases (2000) — 337 citations
• A framework for high-accuracy privacy-preserving mining (2004) — 234 citations
• Mining Association Rules under Privacy Constraints (2008) — 8 citations