scientific article; zbMATH DE number 6860775

zbMath1434.68467MaRDI QIDQ4636977

Erica Klampfl, Cynthia Rudin, Tong Wang, Finale Doshi-Velez, Perry MacNeille, Yi-min Liu

Publication date: 17 April 2018

Full work available at URL: http://jmlr.csail.mit.edu/papers/v18/16-003.html

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zbMATH Keywords

data miningdisjunctive normal formassociation rulesstatistical learningBayesian modelinginterpretable classifier

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Bayesian inference (62F15) Learning and adaptive systems in artificial intelligence (68T05)

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Uses Software

• UCI-ml
• CMAR
• FP-growth

Cites Work

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• Learning Certifiably Optimal Rule Lists for Categorical Data
• Bayesian hierarchical rule modeling for predicting medical conditions
• Interpretable classifiers using rules and Bayesian analysis: building a better stroke prediction model
• Landmark learning: An illustration of associative search
• Finding a short and accurate decision rule in disjunctive normal form by exhaustive search
• Very simple classification rules perform well on most commonly used datasets
• A theory of the learnable
• Inductive Logic Programming: Theory and methods
• Learning DNF in time
• Hardness of approximate two-level logic minimization and PAC learning with membership queries

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