A pool-based pattern generation algorithm for logical analysis of data with automatic fine-tuning

DOI10.1016/j.ejor.2015.05.078zbMath1347.62107OpenAlexW1021965158MaRDI QIDQ320730

Torsten Reiners, Marco Caserta

Publication date: 7 October 2016

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2015.05.078

zbMATH Keywords

data miningmachine learningfine-tuninglogical analysis of data

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (6)

Integrated optimization model and algorithm for pattern generation and selection in logical analysis of data ⋮ A hybrid primal heuristic for finding feasible solutions to mixed integer programs ⋮ Recent advances in the theory and practice of logical analysis of data ⋮ Simple Pattern Minimality Problems: Integer Linear Programming Formulations and Covering-Based Heuristic Solving Approaches ⋮ Heuristics for a flowshop scheduling problem with stepwise job objective function ⋮ The multi-parent biased random-key genetic algorithm with implicit path-relinking and its real-world applications

Uses Software

• UCI-ml
• ENDER

Cites Work

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• 10.1162/jmlr.2003.3.4-5.723
• ROUGH SET THEORY AND ITS APPLICATIONS TO DATA ANALYSIS
• Rough sets theory for multicriteria decision analysis

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