Jianfei Zhu

Information Systems · 2003–2005

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Information Systems — 17 citations into it; #5,598 of 8,771 by trust here, #8,494 by citations
• Computational Theory and Mathematics — 15 citations into it; #8,485 of 12,182 by trust here, #11,462 by citations
• Signal Processing — 12 citations into it
• Artificial Intelligence — 6 citations into it; #24,890 of 35,345 by trust here, #34,213 by citations

Whom Jianfei Zhu trusts overall

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

1. Mohammed J. Zaki
2. Jiawei Han
3. Rakesh Agrawal
4. Jian Pei
5. Karam Gouda
6. Roberto J. Bayardo Jr.
7. Christian Borgelt
8. Rayadurgam Srikant
9. Douglas Burdick
10. Yiwen Yin

Who trusts Jianfei Zhu overall

1. Christian Bienia
2. Kai Li
3. Hong Cheng
4. Zhenmin Li
5. Aaron Ceglar
6. Jiawei Han
7. Takeaki Uno
8. Yu-Chiang Li
9. Haoran Niu
10. Xifeng Yan

Papers from Jianfei Zhu's perspective

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

1. MAFIA: a maximal frequent itemset algorithm for transactional databases (Proceedings / International Conference on Data Engineering)
2. Efficiently mining long patterns from databases
3. Mining association rules between sets of items in large databases
4. CLOSET: An Efficient Algorithm for Mining Frequent Closed Itemsets (ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery)
5. Mining frequent patterns without candidate generation
6. CHARM: An Efficient Algorithm for Closed Itemset Mining (SDM)
7. Attention is All you Need (Neural Information Processing Systems)
8. Fast vertical mining using diffsets
9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
10. Scalable Algorithms for Association Mining

Their papers

• Fast algorithms for frequent itemset mining using FP-trees (2005) — 629 citations
• Efficiently Using Prefix-trees in Mining Frequent Itemsets (2003) — 632 citations