Gösta Grahne

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; #5,595 of 8,771 by trust here, #8,494 by citations
• Computational Theory and Mathematics — 15 citations into it; #8,479 of 12,182 by trust here, #11,462 by citations
• Signal Processing — 12 citations into it
• Artificial Intelligence — 6 citations into it; #24,874 of 35,345 by trust here, #34,213 by citations

Whom Gösta Grahne 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. Christian Borgelt
7. Roberto J. Bayardo Jr.
8. Rayadurgam Srikant
9. Douglas Burdick
10. Yiwen Yin

Who trusts Gösta Grahne 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 Gösta Grahne's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Attention is All you Need (Neural Information Processing Systems)
3. Efficiently mining long patterns from databases
4. MAFIA: a maximal frequent itemset algorithm for transactional databases (Proceedings / International Conference on Data Engineering)
5. Long Short-Term Memory
6. Mining association rules between sets of items in large databases
7. Gradient-based learning applied to document recognition
8. ImageNet classification with deep convolutional neural networks
9. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

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