Yi Peng

Management Science and Operations Research · International Journal of Information Technology and Decision Making · 2008–2021

A researcher in the Science corpus: 7 papers; trusts 15 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Management Science and Operations Research — 32 citations into it
• Information Systems — 22 citations into it
• Computational Theory and Mathematics — 13 citations into it
• Statistics and Probability — 10 citations into it
• Computer Networks and Communications — 6 citations into it
• Control and Systems Engineering — 5 citations into it
• Management of Technology and Innovation — 5 citations into it

Whom Yi Peng trusts overall

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

1. Saso Dzeroski
2. Anil K. Jain
3. David L. Olson
4. Lior Rokach
5. Gerard A. Salton
6. Jiawei Han
7. Amine Abou-Rjeili
8. Eibe Frank
9. Arthur P. Dempster
10. M. Murty

Who trusts Yi Peng overall

1. Simplice A. Asongu
2. Gang Kou
3. Mayra Zegarra Rodriguez

Papers from Yi Peng's perspective

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

1. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
2. Algorithms for Clustering Data
3. Data clustering: a review
4. The EM algorithm and extensions
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Mining association rules between sets of items in large databases
7. Combining Pattern Classifiers: Methods and Algorithms (Technometrics)
8. A vector space model for automatic indexing
9. Fuzzy Multiple Attribute Decision Making - Methods and Applications
10. On Private Scalar Product Computation for Privacy-Preserving Data Mining

Their papers

• A Descriptive Framework for the Field of Data Mining and Knowledge Discovery (2008) — 358 citations
• Bankruptcy prediction for SMEs using transactional data and two-stage multiobjective feature selection (2021) — 320 citations
• Evaluation of feature selection methods for text classification with small datasets using multiple criteria decision-making methods (2020) — 298 citations
• Soft consensus cost models for group decision making and economic interpretations (2019) — 313 citations
• Evaluation of clustering algorithms for financial risk analysis using MCDM methods (2014) — 708 citations
• Evaluation of Classification Algorithms Using MCDM and Rank Correlation (2012) — 514 citations
• Optimization Based Data Mining: Theory and Applications (2011) — 310 citations