Clifton Phua
Artificial Intelligence · 2004–2014
A researcher in the Science corpus: 3 papers; trusts 11 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 29 citations into it; #13,240 of 35,345 by trust here, #18,186 by citations
- Statistical Learning Theory — 10 citations into it
- Information Systems — 8 citations into it
- Computer Vision and Pattern Recognition — 7 citations into it
- Evaluation & Benchmarks — 7 citations into it
- Statistics and Probability — 7 citations into it
Whom Clifton Phua trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David Hilton Wolpert
- M. Maloof
- Nathalie Japkowicz
- Ludmila I. Kuncheva
- C. Drummond
- Saso Dzeroski
- Nitesh V. Chawla
- Pedro M. Domingos
- Graham J. Williams
- Simon Hawkins
Who trusts Clifton Phua overall
- Leman Akoglu
- Charu C. Aggarwal
- Johan L. Perols
- Yuxi Li
- Andrea Dal Pozzolo
- John Awoyemi
- Tomás Borovicka
- Hanghang Tong
- Wei Wei
- Ahmed Ali Abbasi
Papers from Clifton Phua's perspective
Ordered by how strongly the researchers Clifton Phua trusts endorse each paper. Same corpus, a different order for every researcher.
- Bagging Predictors
- Fast Effective Rule Induction
- A decision-theoretic generalization of on-line learning and an application to boosting
- SMOTE: Synthetic Minority Over-sampling Technique
- C4.5: Programs for Machine Learning
- MetaCost: a general method for making classifiers cost-sensitive
- Experiments with a New Boosting Algorithm
- Random Forests
- UCI Repository of machine learning databases
- Special Invited Paper-Additive logistic regression: A statistical view of boosting
Their papers
- Detecting click fraud in online advertising: a data mining approach (2014) — 95 citations
- A Comprehensive Survey of Data Mining-based Fraud Detection Research (2010) — 953 citations
- Minority report in fraud detection: classification of skewed data (2004) — 660 citations