Synergies between operations research and data mining: the emerging use of multi-objective approaches
DOI10.1016/j.ejor.2012.03.039zbMath1253.90002OpenAlexW2030723486WikidataQ59262714 ScholiaQ59262714MaRDI QIDQ1926877
Clarisse Dhaenens, Laetitia Jourdan, David W. Corne
Publication date: 29 December 2012
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ejor.2012.03.039
multi-objective optimizationknowledge-based systemsknowledge discoveryoperations researchstate-of-the-art
Classification and discrimination; cluster analysis (statistical aspects) (62H30) Multi-objective and goal programming (90C29) Pattern recognition, speech recognition (68T10) Research exposition (monographs, survey articles) pertaining to statistics (62-02) Research exposition (monographs, survey articles) pertaining to operations research and mathematical programming (90-02)
Related Items (16)
Uses Software
Cites Work
- A hybrid data mining GRASP with path-relinking
- Optimization problems in statistical learning: duality and optimality conditions
- Knowledge incorporation in evolutionary computation
- A new mathematical programming approach to multi-group classification problems
- Data mining. Concepts and techniques
- Multi-objective evolutionary biclustering of gene expression data
- A classification model based on goal programming with non-standard preference functions with application to the prediction of cinema-going behaviour
- Using clustering analysis in a capacitated location-routing problem
- Multi-criteria classification -- a new scheme for application of dominance-based decision rules
- Innovative applications in data mining
- Using decision rules to achieve mass customization of airline services
- Synergies of operations research and data mining
- Sensitivity and specificity based multiobjective approach for feature selection: application to cancer diagnosis
- Multiobjective problem solving from nature. From concepts to applications
- Tuning metaheuristics. A machine learning Perspective
- Handling multicriteria preferences in cluster analysis
- Data mining with genetic algorithms on binary trees.
- Learnable evolution model: Evolutionary processes guided by machine learning
- Data mining and knowledge discovery with evolutionary algorithms
- Support-vector networks
- Multi-objective machine learning
- An approach for predicting and describing patient outcome using multicriteria decision analysis and decision rules
- Operations research and data mining
- A machine learning approach to algorithm selection for \(\mathcal{NP}\)-hard optimization problems: a case study on the MPE problem
- Manufacturing lead time estimation using data mining
- Two-group classification via a biobjective margin maximization model
- A mixed-integer programming approach to the clustering problem with an application in customer segmentation
- A mixed-integer programming approach to multi-class data classification problem
- Hybridization of GRASP metaheuristic with data mining techniques
- Mathematical classification and clustering
- The application and effectiveness of a multi-objective metaheuristic algorithm for partial classi\-fication
- Multiobjective Genetic Algorithms for Clustering
- Multicriteria Attractiveness Evaluation of Decision and Association Rules
- Applications of the DM‐GRASP heuristic: a survey
- Well-Separated Clusters and Optimal Fuzzy Partitions
- A Branch and Bound Algorithm for Feature Subset Selection
- 10.1162/153244303322753616
- A hybrid data mining metaheuristic for the p‐median problem
- Combining evolutionary algorithms and exact approaches for multi-objective knowledge discovery
- Nearest neighbor pattern classification
- Evolutionary Multi-Criterion Optimization
- Evolutionary Multi-Criterion Optimization
- Data Mining and Knowledge Discovery Handbook
- Principles and Practice of Constraint Programming – CP 2004
- Evolutionary Computation in Combinatorial Optimization
- Rough sets theory for multicriteria decision analysis
- Parallel sequence mining on shared-memory machines
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