Yong Shi

发表

A Descriptive Framework for the Field of Data Mining and Knowledge Discovery

Zhengxin Chen, Yi Peng, Gang Kou, 2008, Int. J. Inf. Technol. Decis. Mak..

A class of classification and regression methods by multiobjective programming

Yong Shi, Yingjie Tian, Dongling Zhang, 2009, Frontiers of Computer Science in China.

FAMCDM: A fusion approach of MCDM methods to rank multiclass classification algorithms

Yi Peng, Gang Kou, Yong Shi, 2011 .

Feature Selection with Attributes Clustering by Maximal Information Coefficient

Yong Shi, Wei Deng, Xi Zhao, 2013, ITQM.

A Transportation model with multiple criteria and multiple constraint levels

Yong Shi, 1995 .

The variable weighted functions of combined forecasting

Yong Shi, Xiaowo Tang, Zongfang Zhou, 2003 .

An MC2 linear programming approach to combined forecasting

Yong Shi, Zhou Zongfang, X. Hao, 1999 .

Capital budgeting with multiple criteria and multiple decision makers

Yong Shi, Wikil Kwak, Heeseok Lee, 1996 .

Using Non-Additive Measure for Optimization-Based Nonlinear Classification

Zhenyuan Wang, Yong Shi, Zhengxin Chen, 2012 .

A New Nonlinear Multiregression Model Based on the Lower and Upper Integrals

Zhenyuan Wang, Yong Shi, K. Leung, 2014 .

Chapter I Introduction to Data Mining Techniques via Multiple Criteria Optimization Approaches and Applications

Yong Shi, 2008 .

Predicting Bankruptcy After The Sarbanes-Oxley Act Using The Most Current Data Mining Approaches

Gang Kou, Yong Shi, Wikil Kwak, 2012 .

A STATE-OF-THE-ART OF MC2 LINEAR PROGRAMMING

Yong Shi, Xiaowo Tang, 2000 .

Generalized optimal designs and contingency plans in linear systems

P. Yu, Yong Shi, Dazhi Zhang, 1996 .

Data Mining Applications in Accounting and Finance

Susan W. Eldridge, Yong Shi, Wikil Kwak, 2014 .

A Fuzzy Potential Solution Approach to Multi-Criteria and Multi-Constraint Level Linear Programming Problems

Yong Shi, Yi-Hsin Liu, 1997 .

A new nonlinear classification model based on cross-oriented Choquet integrals

Yong Shi, Zhenyuan Wang, Yong Shi, 2011, International Conference on Information Science and Technology.

A multi-view approach to cDNA micro-array analysis

Yong Shi, Zidong Wang, Xiaohui Liu, 2010, Int. J. Comput. Biol. Drug Des..

Application of Classification Methods to Individual Disability Income Insurance Fraud Detection

Deepak Khazanchi, Zhengxin Chen, Yi Peng, 2007, International Conference on Computational Science.

Optimal trade-offs of multiple factors in transfer pricing problems

Yong Shi, Wikil Kwak, Heeseok Lee, 1998 .

Flexible contingency plans in optimal linear designs

Yong Shi, Dazhi Zhang, 1993 .

IBMM for Rank Reversal

Yi Peng, Gang Kou, Yong Shi, 2013 .

Bankruptcy prediction for Japanese firms: using Multiple Criteria Linear Programming data mining approach

Gang Kou, Yong Shi, Wikil Kwak, 2006, Int. J. Bus. Intell. Data Min..

An Integer Linear Programming Problem with Multi‐Criteria and Multi‐Constraint Levels: a Branch‐and‐Partition Algorithm

Jun Yu Li, Yong Shi, 2001 .

Document Clustering in Antimicrobial Peptides Research

Zhengxin Chen, Yi Peng, Gang Kou, 2005, AMCIS.

Generating new designs using union operations

P. Yu, Yong Shi, Dazhi Zhang, 1994 .

A Multi-criteria Convex Quadratic Programming model for credit data analysis

Zhengxin Chen, Yi Peng, Gang Kou, 2008, Decis. Support Syst..

An alternative approach for the classification of orange varieties based on near infrared spectroscopy

Yong Shi, Guangli Nie, Warawut Suphamitmongkol, 2013 .

Support Vector Machines for Multi-class Classification Problems

Yi Peng, Gang Kou, Yong Shi, 2011 .

A Simple and Fast Multi-instance Classification via Support Vector Machine

Yong Shi, Zhiquan Qi, Yingjie Tian, 2012, 2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology.

Estimation of Epicentral Intensity

Yong Shi, Chongfu Huang, 2002 .

A Multicriteria Decision Making Approach for Estimating the Number of Clusters in a Data Set

Yi Peng, Gang Kou, Yong Shi, 2012, PloS one.

Kernel based simple regularized multiple criteria linear program for binary classification and regression

Yong Shi, Xi Zhao, Lingfeng Niu, 2015, Intell. Data Anal..

A Simple Regularized Multiple Criteria Linear Programs for Binary Classification

Yong Shi, Xi Zhao, Lingfeng Niu, 2013, ICCS.

A Data Classification method based on Fuzzy Linear Programming 1

Jing He, Yong Shi, Aihua Li, 2006 .

Classifications Of Credit Cardholder Behavior By Using Fuzzy Linear Programming

Yong Shi, Weixuan Xu, Jing He, 2004, Int. J. Inf. Technol. Decis. Mak..

Optimal system design with MC2 linear programming: A dual contingency plan approach

Yong Shi, Yong Shi, 1998, Eur. J. Oper. Res..

A binary integer linear program with multi-criteria and multi-constraint levels

Heeseok Lee, Yong Shi, Heeseok Lee, 1997, Comput. Oper. Res..

A computer-aided system for linear production designs

Yong Shi, Changqing Zhang, Dazhi Zhang, 1994, Decis. Support Syst..

Fuzzy potential solutions in multi-criteria and multi-constraint level linear programming problems

Yong Shi, Yi-Hsin Liu, Yong Shi, 1993 .

Regular Multiple Criteria Linear Programming for Semi-supervised Classification

Yong Shi, Zhiquan Qi, Yingjie Tian, 2012, 2012 IEEE 12th International Conference on Data Mining Workshops.

Laplacian twin support vector machine for semi-supervised classification

Yong Shi, Zhiquan Qi, Yingjie Tian, 2012, Neural Networks.

Some Concepts From Probability and Statistics

Chongfu Huang, Yong Shi, Yong Shi, 2002 .

Credit risk evaluation using multi-criteria optimization classifier with kernel, fuzzification and penalty factors

Yong Shi, Zhiwang Zhang, Guangxia Gao, 2014, Eur. J. Oper. Res..

A group of knowledge-incorporated multiple criteria linear programming classifiers

Yong Shi, Yingjie Tian, Dongling Zhang, 2011, J. Comput. Appl. Math..

Active Learning From Stream Data Using Optimal Weight Classifier Ensemble

Xiaodong Lin, Yong Shi, Peng Zhang, 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Meta-analysis of Peer Effects on Smart Cities

Yuejin Zhang, Yong Shi, Wei Deng, 2019, ITQM.

Multiple Criteria Linear Programming Data Mining Approach: An Application for Bankruptcy Prediction

Heeseok Lee, Yong Shi, John J. Cheh, 2004, CASDMKM.

Discovering Credit Cardholders’ Behavior by Multiple Criteria Linear Programming

Yi Peng, Gang Kou, Yong Shi, 2005, Ann. Oper. Res..

City Brain, a New Architecture of Smart City Based on the Internet Brain

Liu Feng, Yong Shi, Fangyao Liu, 2017, 2018 IEEE 22nd International Conference on Computer Supported Cooperative Work in Design ((CSCWD)).

Predicting Auditor Changes With Financial Distress Variables: Discriminant Analysis And Problems With Data Mining Approaches

Susan W. Eldridge, Gang Kou, Yong Shi, 2012 .

Predicting Auditor Changes Using Financial Distress Variables And The Multiple Criteria Linear Programming (MCLP) And Other Data Mining Approaches

Gang Kou, Yong Shi, Wikil Kwak, 2011 .

Data Mining via Multiple Criteria Linear Programming: Applications in Credit Card Portfolio Management

Yi Peng, Yong Shi, Weixuan Xu, 2002, Int. J. Inf. Technol. Decis. Mak..

Multiple criteria and multiple constraint levels linear programming : concepts, techniques and applications

Yong Shi, Yong Shi, 2001 .

Multiple criteria linear programming approach to data mining: Models, algorithm designs and software development

Yi Peng, Gang Kou, Yong Shi, 2003, Optim. Methods Softw..

Weak duality theorem and complementary slackness theorem for linear matrix programming problems

Yong Shi, Ferenc Gyetvàn, Yong Shi, 1992, Oper. Res. Lett..

Selecting optimal linear production systems in multiple criteria environments

Yong Shi, Po Lung Yu, P. Yu, 1992, Comput. Oper. Res..

An empirical study of classification algorithm evaluation for financial risk prediction

Gang Kou, Yong Shi, Guoxun Wang, 2011, Appl. Soft Comput..

Evaluation of Classification Algorithms Using MCDM and Rank Correlation

Yi Peng, Gang Kou, Yong Shi, 2012, Int. J. Inf. Technol. Decis. Mak..

Optimal Estimation of Low-Rank Factors via Feature Level Data Fusion of Multiplex Signal Systems

Jian Pei, Jie Cao, Hui-Jia Li, 2020, IEEE Transactions on Knowledge and Data Engineering.

Ensemble of constraint-handling techniques for solving reservoir scheduling problems

Yifan Xu, Yong Shi, Tengfei Hu, 2019, Journal of Hydroinformatics.

BIPOLAR LINEAR ALGEBRA AND YINYANG-N-ELEMENT CELLULAR NETWORKS FOR EQUILIBRIUM-BASED BIOSYSTEM SIMULATION AND REGULATION

Yong Shi, Su-Shing Chen, Wen-Ran Zhang, 2009 .

Towards Efficient Fuzzy Information Processing - Using the Principle of Information Diffusion

Yong Shi, Chongfu Huang, Yong Shi, 2002, Studies in Fuzziness and Soft Computing.

Misclassification Minimization Based on Multiple Criteria Linear Programming

Bo Wang, Yong Shi, Guanfeng Liu, 2014, 2014 IEEE International Conference on Data Mining Workshop.

Multi-criteria optimization classifier using fuzzification, kernel and penalty factors for predicting protein interaction hot spots

Yong Shi, Yanqing Duan, Jun Yue, 2014, Appl. Soft Comput..

Structural Regular Multiple Criteria Linear Programming for Classification Problem

Yong Shi, Zhiquan Qi, Yong Shi, 2014, Int. J. Comput. Commun. Control.

Error Correction Method in Classification by Using Multiple-Criteria and Multiple-Constraint Levels Linear Programming

Yong Shi, Bo Wang, Yong Shi, 2014, Int. J. Comput. Commun. Control.

Multi-instance classification based on regularized multiple criteria linear programming

Yong Shi, Ying-jie Tian, Zhiquan Qi, 2013, Neural Computing and Applications.

A Fuzzy Linear Programming-Based Classification Method

Yanchun Zhang, Jing He, Aihua Li, 2011, Int. J. Inf. Technol. Decis. Mak..

Multiple Criteria Quadratic Programming

Yi Peng, Gang Kou, Yong Shi, 2011 .

Knowledge extraction from multiple criteria linear programming classification approach

Yuejin Zhang, Lingling Zhang, Peng Zhang, 2010, ICCS.

Multiple criteria programming models for VIP E-Mail behavior analysis

Yong Shi, Peng Zhang, Xingquan Zhu, 2010, Web Intell. Agent Syst..

Multiple criteria optimization-based data mining methods and applications: a systematic survey

Yong Shi, Yong Shi, 2010, Knowledge and Information Systems.

Several multi-criteria programming methods for classification

Yong Shi, Peng Zhang, Juliang Zhang, 2009, Comput. Oper. Res..

Using k-Interactive Measure in Optimization-Based Data Mining

Zhengxin Chen, Yong Shi, Nian Yan, 2008, 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology.

A Rough Set-Based Multiple Criteria Linear Programming Approach for Classification

Yong Shi, Peng Zhang, Zhiwang Zhang, 2008, ICCS.

An Optimization-Based Classification Approach with the Non-additive Measure

Zhengxin Chen, Yong Shi, Rong Liu, 2008, ICCS.

Multiple Criteria Mathematical Programming and Data Mining

Yong Shi, Rong Liu, Zhenxing Chen, 2008, ICCS.

A Family of Optimization Based Data Mining Methods

Yong Shi, Rong Liu, Zhenxing Chen, 2008, APWeb.

Multiple Criteria Nonlinear Programming Classification with the Non-additive Measure

Zhengxin Chen, Yong Shi, Nian Yan, 2008, MCDM.

Classification of HIV-I-Mediated neuronal dendritic and synaptic damage using multiple criteria linear programming

Gang Kou, Yong Shi, Hui Peng, 2007, Neuroinformatics.

Nonlinear Classification by Linear Programming with Signed Fuzzy Measures

Zhengxin Chen, Zhenyuan Wang, Yong Shi, 2006, 2006 IEEE International Conference on Fuzzy Systems.

Classifying Credit Card Accounts for Business Intelligence and Decision Making: a Multiple-criteria Quadratic Programming Approach

Zhengxin Chen, Gang Kou, Yong Shi, 2005, Int. J. Inf. Technol. Decis. Mak..

A Set of Data Mining Models to Classify Credit Cardholder Behavior

Yi Peng, Gang Kou, Yong Shi, 2003, International Conference on Computational Science.

Classifications of neural dendritic and synaptic damage resulting from HIV-1-associated dementia: a multiple criteria linear programming approach

Gang Kou, Yong Shi, Hui Peng, 2003, 36th Annual Hawaii International Conference on System Sciences, 2003. Proceedings of the.

Data Mining in Credit Card Portfolio Management: A Multiple Criteria Decision Making Approach

Yong Shi, Morgan Wise, Yachen Lin, 2001 .

Difference in Differences in Marketing Performance Measurement

Yong Shi, Nan Xu, Wei Deng, 2019, ITQM.

Multiple criteria mathematical programming for multi-class classification and application in network intrusion detection

Zhengxin Chen, Yi Peng, Gang Kou, 2009, Inf. Sci..

Intelligent Knowledge Management

Yi Peng, Gang Kou, Yong Shi, 2011 .

Analyzing the Impact of Characteristics on Artificial Intelligence IQ Test: A Fuzzy Cognitive Map Approach

Yong Shi, Zhengxin Chen, Yuejin Zhang, 2018, ITQM.

A consensus ranking for information system requirements

Yong Shi, Pamela Specht, Justin Stolen, 1996, Inf. Manag. Comput. Secur..

IBMM for Missing Data Estimation

Yi Peng, Gang Kou, Yong Shi, 2013 .

IBMM for Inconsistent Data Identification and Adjustment in the AHP/ANP

Yi Peng, Gang Kou, Daji Ergu, 2013 .

Ensemble of Software Defect Predictors: an AHP-Based Evaluation Method

Yi Peng, Gang Kou, Yong Shi, 2011, Int. J. Inf. Technol. Decis. Mak..

SUPPORTING ECONOMIC REFORM OF THE CHINESE PETROLEUM INDUSTRY: A DYNAMIC DECISION MAKING MODEL

Yong Shi, Guang-Yao Lee, Yuri Liu, 1996 .

A weighted fuzzy similar choice method for ranking a set of alternatives with multiple criteria

Yong Shi, Yuji Liu, 1995 .

Allocating data files over a wide area network: Goal setting and compromise design

Heeseok Lee, Yong Shi, Justin Stolen, 1994, Inf. Manag..

Post Mining of Multiple Criteria Linear Programming Classification Model for Actionable Knowledge in Credit Card Churning Management

Yong Shi, Lingling Zhang, Yibing Chen, 2011, 2011 IEEE 11th International Conference on Data Mining Workshops.

Recent advances on support vector machines research

Yong Shi, Yingjie Tian, Xiaohui Liu, 2012 .

Categorizing and mining concept drifting data streams

Yong Shi, Peng Zhang, Xingquan Zhu, 2008, KDD.

Ramp loss K-Support Vector Classification-Regression; a robust and sparse multi-class approach to the intrusion detection problem

Seyed Mojtaba Hosseini Bamakan, Yong Shi, Huadong Wang, 2017, Knowl. Based Syst..

An Aggregate Ensemble for Mining Concept Drifting Data Streams with Noise

Xindong Wu, Yong Shi, Peng Zhang, 2009, PAKDD.

Robust ensemble learning for mining noisy data streams

Xindong Wu, Li Guo, Yong Shi, 2011, Decis. Support Syst..

Multiobjective linear programming model on injection oilfield recovery system

Yong Shi, Yong Shi, W. Xiao, 1998 .

Parallel data mining techniques on Graphics Processing Unit with Compute Unified Device Architecture (CUDA)

Yong Shi, Y. Liu, Shenshen Liang, 2013, The Journal of Supercomputing.

R*-Tree Based Similarity and Clustering Analysis for Images

Yong Shi, Zhengxin Chen, Jiaxiong Pi, 2011 .

A divide-and-combine method for large scale nonparallel support vector machines

Yingjie Tian, Yong Shi, Xuchan Ju, 2016, Neural Networks.

Estimation of Isoseismal Area

Yong Shi, Chongfu Huang, Yong Shi, 2002 .

Application of Design of Experiment Method for Sports Results Prediction

Lotfollah Najjar, Fangyao Liu, Yong Shi, 2017, ITQM.

Recommender system for marketing optimization

Yong Shi, Zhengxin Chen, Wei Deng, 2019, World Wide Web.

Credit card churn forecasting by logistic regression and decision tree

Yong Shi, Lingling Zhang, Yingjie Tian, 2011, Expert Syst. Appl..

Knowledge-Rich Data Mining in Financial Risk Detection

Yi Peng, Gang Kou, Yong Shi, 2009, ICCS.

epsilon-Support Vector and Large-Scale Data Mining Problems

Zhengxin Chen, Yi Peng, Gang Kou, 2007, International Conference on Computational Science.

Database Keyword Search: A Perspective from Optimization

Zhengxin Chen, Yong Shi, Rajvardhan Patil, 2012, 2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology.

Human Resource Allocation in a CPA Firm: A Fuzzy Set Approach

Yong Shi, Wikil Kwak, Kooyul Jung, 2003 .

An ensemble clustering model for mining concept drifting stream data in emergency management

Yi Peng, Gang Kou, Jun Li, 2012, DM-IKM '12.

Evaluation of Cluster Analysis Algorithms Enhanced by Using R*-Trees

Jiaxiong Pi, Zhengxin Chen, Yong Shi, 2006, IEEE International Conference on Computer Systems and Applications, 2006..

Ramp loss nonparallel support vector machine for pattern classification

Yong Shi, Yingjie Tian, Dalian Liu, 2015, Knowl. Based Syst..

Problems and systematic solutions in data quality

Yong Shi, Peng Zhang, Xingsen Li, 2009 .

Twin support vector machine with Universum data

Yong Shi, Zhiquan Qi, Yingjie Tian, 2012, Neural Networks.

Distributed data possession checking for securing multiple replicas in geographically-dispersed clouds

Yanchun Zhang, Jing He, Guangyan Huang, 2012, J. Comput. Syst. Sci..

Finding the Hidden Pattern of Credit Card Holder's Churn: A Case of China

Yong Shi, Peng Zhang, Yingjie Tian, 2009, ICCS.

Research on Smart City Evaluation Based on Hierarchy of Needs

Yuejin Zhang, Aihua Li, Yong Shi, 2019, ITQM.

Inverse Convolutional Neural Networks for Learning from Label Proportions

Yong Shi, Zhiquan Qi, Jiabin Liu, 2018, 2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI).

Multicriteria Decision Making Approach for Cluster Validation

Jun Li, Gang Kou, Yong Shi, 2012, ICCS.

A nonparallel support vector machine for a classification problem with universum learning

Yong Shi, Zhiquan Qi, Yingjie Tian, 2014, J. Comput. Appl. Math..

Applications of IBMM

Yi Peng, Gang Kou, Yong Shi, 2013 .

Modeling of Characteristics on Artificial Intelligence IQ Test: a Fuzzy Cognitive Map-Based Dynamic Scenario Analysis

Zhengxin Chen, Yong Shi, Fangyao Liu, 2019, Int. J. Comput. Commun. Control.

Recommender system for marketing optimization

Zhengxin Chen, Yong Shi, Wei Deng, 2019, World Wide Web.

Constrained matrix factorization for semi-weakly learning with label proportions

Yong Shi, Zhensong Chen, Zhiquan Qi, 2019, Pattern Recognit..

Incorporating Community Detection and Clustering Techniques into Collaborative Filtering Model

Zhengxin Chen, Yong Shi, Wei Deng, 2014, ITQM.

Intelligence Quotient Test for Smart Cities in the United States

Yong Shi, Zhengxin Chen, Fangyao Liu, 2021 .

Big Data Analysis: Theory and Applications

Yong Shi, Pei Quan, Yangyang Shi, 2019, LSSC.