Cutting Plane Algorithms for Nonlinear Semi-Definite Programming Problems with Applications
Journal of Global Optimization
Revised Papers from Large-Scale Parallel Data Mining, Workshop on Large-Scale Parallel KDD Systems, SIGKDD
Genetic programming in classifying large-scale data: an ensemble method
Information Sciences: an International Journal - Special issue: Soft computing data mining
A Survey of Outlier Detection Methodologies
Artificial Intelligence Review
Editorial: introduction to operations research and data mining
Computers and Operations Research
Optimization-based feature selection with adaptive instance sampling
Computers and Operations Research
A data mining-constraint satisfaction optimization problem for cost effective classification
Computers and Operations Research
Mining market data: a network approach
Computers and Operations Research
Oblique Multicategory Decision Trees Using Nonlinear Programming
INFORMS Journal on Computing
Intelligent Partitioning for Feature Selection
INFORMS Journal on Computing
Support feature machine for classification of abnormal brain activity
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Accurately learning from few examples with a polyhedral classifier
Computational Optimization and Applications
A Multi-criteria Convex Quadratic Programming model for credit data analysis
Decision Support Systems
Multi-group support vector machines with measurement costs: A biobjective approach
Discrete Applied Mathematics
Cybernetics and Systems Analysis
International Journal of Computer Mathematics - Bioinformatics
Several multi-criteria programming methods for classification
Computers and Operations Research
Information Sciences: an International Journal
A tabu search with an oscillation strategy for the discriminant analysis problem
Computers and Operations Research
A new hybrid algorithm for feature selection and its application to customer recognition
COCOA'07 Proceedings of the 1st international conference on Combinatorial optimization and applications
Business intelligence for delinquency risk management via cox regression
PKAW'10 Proceedings of the 11th international conference on Knowledge management and acquisition for smart systems and services
A coordinate gradient descent method for l1-regularized convex minimization
Computational Optimization and Applications
Protecting Privacy Against Record Linkage Disclosure: A Bounded Swapping Approach for Numeric Data
Information Systems Research
A new multi-criteria convex quadratic programming model for credit analysis
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part IV
Multiclass credit cardholders’ behaviors classification methods
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part IV
Probabilistic Approaches For Credit Screening And Bankruptcy Prediction
International Journal of Intelligent Systems in Accounting and Finance Management
A dependent LP-rounding approach for the k-median problem
ICALP'12 Proceedings of the 39th international colloquium conference on Automata, Languages, and Programming - Volume Part I
Review: Supervised classification and mathematical optimization
Computers and Operations Research
A maximum-margin genetic algorithm for misclassification cost minimizing feature selection problem
Expert Systems with Applications: An International Journal
Approximating k-median via pseudo-approximation
Proceedings of the forty-fifth annual ACM symposium on Theory of computing
Column Generation for the Minimum Hyperplanes Clustering Problem
INFORMS Journal on Computing
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This article is intended to serve as an overview of a rapidly emerging research and applications area. In addition to providing a general overview, motivating the importance of data mining problems within the area of knowledge discovery in databases, our aim is to list some of the pressing research challenges, and outline opportunities for contributions by the optimization research communities. Towards these goals, we include formulations of the basic categories of data mining methods as optimization problems. We also provide examples of successful mathematical programming approaches to some data mining problems.