Learning customized and optimized lists of rules with mathematical programming
type: Item
instance of: scholarly article
title: Learning customized and optimized lists of rules with mathematical programming
zbMATH Open document ID: 1411.90234
author: Cynthia Rudin
author: Şeyda Ertekin
published in: Mathematical Programming Computation
publication date: 2019-05-03T00:00:00Z
full work available at URL: https://hdl.handle.net/1721.1/131392
Mathematics Subject Classification ID: 90C11
Mathematics Subject Classification ID: 62-04
Mathematics Subject Classification ID: 68T05
zbMATH DE Number: 7050492
zbMATH Keywords: mixed-integer programming
zbMATH Keywords: decision trees
zbMATH Keywords: decision lists
zbMATH Keywords: sparsity
zbMATH Keywords: interpretable modeling
zbMATH Keywords: associative classification
describes a project that uses: C50
describes a project that uses: AdaBoost.MH
describes a project that uses: PRIE
describes a project that uses: CMAR
describes a project that uses: C4.5
describes a project that uses: UCI-ml
describes a project that uses: WEKA
MaRDI profile type: Publication
OpenAlex ID: W2890013550
cites work: Learning Certifiably Optimal Rule Lists for Categorical Data
cites work: Optimal classification trees
cites work: Random forests
cites work: Q3327527
cites work: A decision-theoretic generalization of on-line learning and an application to boosting
cites work: Predictive learning via rule ensembles
cites work: Q3093360
cites work: Interpretable classifiers using rules and Bayesian analysis: building a better stroke prediction model
cites work: Q3093258
cites work: Bayesian hierarchical rule modeling for predicting medical conditions
cites work: Node harvest
cites work: Inductive Logic Programming: Theory and methods
cites work: Q3985232
cites work: Q2933954
cites work: Supersparse linear integer models for optimized medical scoring systems
cites work: Q4261789
cites work: Learning decision trees with flexible constraints and objectives using integer optimization
cites work: Q4636977
cites work: Using decision lists to construct interpretable and parsimonious treatment regimes
Wikidata QID: Q129293922
DOI: 10.1007/S12532-018-0143-8
description: scientific article; zbMATH DE number 7050492