Jieh-Shan Yeh

Computational Theory and Mathematics · 2008

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computational Theory and Mathematics — 10 citations into it; #7,738 of 12,182 by trust here, #9,306 by citations
• Information Systems — 10 citations into it; #5,039 of 8,771 by trust here, #7,386 by citations
• Artificial Intelligence — 5 citations into it; #23,020 of 35,345 by trust here, #30,347 by citations

Whom Jieh-Shan Yeh trusts overall

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

1. Rakesh Agrawal
2. Ying Liu
3. Gösta Grahne
4. Hong Yao
5. W. Liao
6. Jiawei Han
7. Rayadurgam Srikant

Who trusts Jieh-Shan Yeh overall

1. Mengchi Liu
2. Philippe Fournier-Viger
3. Vincent Shin-Mu Tseng

Papers from Jieh-Shan Yeh's perspective

Ordered by how strongly the researchers Jieh-Shan Yeh trusts endorse each paper. Same corpus, a different order for every researcher.

1. Fast Algorithms for Mining Association Rules
2. Mining association rules between sets of items in large databases
3. Mining high utility itemsets (Third IEEE International Conference on Data Mining)
4. A Foundational Approach to Mining Itemset Utilities from Databases (SDM)
5. Mining Frequent Patterns without Candidate Generation: A Frequent-Pattern Tree Approach (Data mining and knowledge discovery)
6. Integrating Classification and Association Rule Mining
7. Fast algorithms for frequent itemset mining using FP-trees (IEEE Transactions on Knowledge and Data Engineering)
8. A Two-Phase Algorithm for Fast Discovery of High Utility Itemsets (Pacific-Asia Conference on Knowledge Discovery and Data Mining)
9. A fast high utility itemsets mining algorithm (UBDM '05)
10. Data Mining: Concepts, Models, Methods, and Algorithms

Their papers

• Isolated items discarding strategy for discovering high utility itemsets (2008) — 341 citations