Metaheuristics for data mining
From MaRDI portal
Publication:2001197
DOI10.1007/s10288-019-00402-4zbMath1457.90002OpenAlexW2934320204MaRDI QIDQ2001197
Laetitia Jourdan, Clarisse Dhaenens
Publication date: 2 July 2019
Published in: 4OR (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10288-019-00402-4
Approximation methods and heuristics in mathematical programming (90C59) Combinatorial optimization (90C27) Research exposition (monographs, survey articles) pertaining to operations research and mathematical programming (90-02) Research exposition (monographs, survey articles) pertaining to computer science (68-02)
Related Items (3)
Local search algorithms for the composite retrieval problem ⋮ Learnheuristics: hybridizing metaheuristics with machine learning for optimization with dynamic inputs ⋮ 4OR comes of age. Editorial note
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Optimization of nearest neighbor classifiers via metaheuristic algorithms for credit risk assessment
- Synergies of operations research and data mining
- Sensitivity and specificity based multiobjective approach for feature selection: application to cancer diagnosis
- Wrappers for feature subset selection
- Machine learning models and algorithms for big data classification. Thinking with examples for effective learning
- Synergies between operations research and data mining: the emerging use of multi-objective approaches
- A genetic algorithm approach to cluster analysis.
- Operations research and data mining
- Genetic algorithm based framework for mining fuzzy association rules
- Multi-objective genetic algorithm based approaches for mining optimized fuzzy association rules
- The application and effectiveness of a multi-objective metaheuristic algorithm for partial classi\-fication
- Finding Groups in Data
- A Branch and Bound Algorithm for Feature Subset Selection
- An efficient algorithm for a complete link method
- A note on genetic algorithms for large-scale feature selection
- 10.1162/153244303322753616
- Data Mining and Knowledge Discovery Handbook
- Metaheuristics—the metaphor exposed
- Computational Methods of Feature Selection
- Combining evolutionary algorithms and exact approaches for multi-objective knowledge discovery
- Evolutionary Multi-Criterion Optimization
- A genetic approach to the automatic clustering problem
This page was built for publication: Metaheuristics for data mining