Chengqi Zhang

Information Systems · with Cao · 2002–2015

A researcher in the Science corpus: 7 papers; trusts 13 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Information Systems — 12 citations into it; #3,058 of 8,771 by trust here, #3,540 by citations
• Computational Theory and Mathematics — 10 citations into it; #9,707 of 12,182 by trust here, #7,851 by citations
• Artificial Intelligence — 6 citations into it
• Signal Processing — 5 citations into it; #4,100 of 7,572 by trust here, #5,829 by citations

Whom Chengqi Zhang trusts overall

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

1. Edward H. Shortliffe
2. Roberto J. Bayardo Jr.
3. Jean-François Boulicaut
4. Rakesh Agrawal
5. Pedro M. Domingos
6. Alex Alves Freitas
7. Jiawei Han
8. Qiang Yang
9. Baptiste Jeudy

Who trusts Chengqi Zhang overall

1. Pranjul Yadav
2. Amir-Hossein Karimi
3. Michael S. Steinbach
4. Wai Lam
5. Gilles Barthe
6. Benjamin Letham
7. Vipin Kumar
8. Jesús Alcalá-Fdez

Papers from Chengqi Zhang's perspective

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

1. Mining association rules between sets of items in large databases
2. Efficiently mining long patterns from databases
3. MetaCost: a general method for making classifiers cost-sensitive
4. Mining frequent patterns without candidate generation
5. Postprocessing decision trees to extract actionable knowledge
6. Computer-based medical consultations, MYCIN
7. Extracting Actionable Knowledge from Decision Trees
8. Pruning and summarizing the discovered associations
9. Post-Analysis of Learned Rules
10. A critical review of multi-objective optimization in data mining: a position paper

Their papers

• Flexible Frameworks for Actionable Knowledge Discovery (2010) — 100 citations
• Efficient mining of both positive and negative association rules (2004) — 526 citations
• Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (2015) — 63 citations
• Knowledge actionability: satisfying technical and business interestingness (2007) — 62 citations
• Domain-Driven Actionable Knowledge Discovery in the Real World (2006) — 55 citations
• Data preparation for data mining (2003) — 304 citations
• Association Rule Mining: Models and Algorithms (2002) — 462 citations