ORC: Ordered Rules for Classification
A Discrete Optimization Approach to Associative Classification

ORC: Ordered Rules for Classification A Discrete Optimization Approach to Associative Classification

Bibliographic Details
Main Authors:	Bertsimas, Dimitris, Chang, Allison, Rudin, Cynthia
Format:	Working Paper
Language:	en_US
Published:	Massachusetts Institute of Technology, Operations Research Center 2012
Online Access:	http://hdl.handle.net/1721.1/73166

Similar Items

Integer Optimization Methods for Supervised Ranking
by: Bertsimas, Dimitris, et al.
Published: (2011)

Sparse classification: a scalable discrete optimization perspective
by: Bertsimas, Dimitris J, et al.
Published: (2021)

Optimal classification trees
by: Bertsimas, Dimitris, et al.
Published: (2017)

Compressed sensing: a discrete optimization approach
by: Bertsimas, Dimitris, et al.
Published: (2024)

Evaluation and optimization of frequent association rule based classification
by: Izwan Nizal Mohd Shaharanee,, et al.
Published: (2014)

Robust Discrete Optimization
by: Bertsimas, Dimitris J., et al.
Published: (2003)

On Equivalence Relationships Between Classification and Ranking Algorithms
by: Rudin, Cynthia, et al.
Published: (2012)

On equivalence relationships between classification and ranking algorithms
by: Ertekin, Seyda, et al.
Published: (2012)

Partial rule match for filtering rules in associative classification
by: Refai, Mohamed Hayel, et al.
Published: (2014)

Latent Case Model: A Generative Approach for Case-Based Reasoning and Prototype Classification
by: Kim, Been, et al.
Published: (2014)

The Bayesian Case Model: A Generative Approach for Case-Based Reasoning and Prototype Classification
by: Kim, Been, et al.
Published: (2014)

Evaluation and optimization of frequent, closed and maximal association rule based classification
by: Mohd Shaharanee, Izwan Nizal, et al.
Published: (2014)

Effective techniques for association rule mining and associative classification
by: Do, Tien Dung
Published: (2008)

Learning customized and optimized lists of rules with mathematical programming
by: Rudin, Cynthia, et al.
Published: (2021)

Features selection and rule removal for frequent association rule based classification
by: Mohd Shaharanee, Izwan Nizal, et al.
Published: (2013)

Machine Learning and Rule-based Approaches to Assertion Classification
by: Uzuner, Ozlem, et al.
Published: (2010)

Irrelevant feature and rule removal for structural associative classification
by: Mohd Shaharanee, Izwan Nizal, et al.
Published: (2015)

Using fuzzy association rule mining in cancer classification
by: Mahmoodian, Sayed Hamid, et al.
Published: (2011)

Design of Near Optimal Decision Rules in Multistage Adaptive Mixed-Integer Optimization
by: Bertsimas, Dimitris J, et al.
Published: (2019)

The role of Orc6 in ORC binding-site switching during helicase loading
by: Driscoll, David
Published: (2024)

Binary decision rules for multistage adaptive mixed-integer optimization
by: Georghiou, Angelos, et al.
Published: (2018)

An improve unsupervised discretization using optimization algorithms for classification problems
by: Mohamed, Rozlini, et al.
Published: (2024)

An improve unsupervised discretization using optimization algorithms for classification problems
by: Mohamed, Rozlini, et al.
Published: (2024)

Learning Theory Analysis for Association Rules and Sequential Event Prediction
by: Rudin, Cynthia, et al.
Published: (2014)

Text classification using modified multi class association rule
by: Kamaruddin, Siti Sakira, et al.
Published: (2016)

Topic classification and association rule mining for Chinese Mathematics questions
by: Tan, Huicheng.
Published: (2011)

Sequential Event Prediction with Association Rules
by: Rudin, Cynthia, et al.
Published: (2011)

Rough-Set-Theory-Based Classification with Optimized k-Means Discretization
by: Dwiputranto, Teguh Handjojo, et al.
Published: (2022)

A Learning Theory Framework for Sequential Event Prediction and Association Rules
by: Rudin, Cynthia, et al.
Published: (2012)

Ant colony optimization algorithm for rule based classification: Issues and potential
by: Al-Behadili, Hayder Naser Khraibet, et al.
Published: (2018)

A general classification rule for probability measures
Published: (2003)

Benchmarking in Congenital Heart Surgery Using Machine Learning-Derived Optimal Classification Trees
by: Bertsimas, Dimitris, et al.
Published: (2022)

Global optimization: a machine learning approach
by: Bertsimas, Dimitris, et al.
Published: (2024)

Dynamic rule refinement strategy of associative classifier for effective mammographic image classification
by: Abubacker, Nirase Fathima
Published: (2016)

On polyhedral and second-order cone decompositions of semidefinite optimization problems
by: Bertsimas, Dimitris J, et al.
Published: (2021)

New Learning Models for Generating Classification Rules Based on Rough Set Approach
by: Al Shalabi, Luai Abdel Lateef
Published: (2000)

A rule-based ontological framework for the classification of molecules
by: Magka, D, et al.
Published: (2014)

A Robust Optimization Approach to Supply Chain Management
by: Bertsimas, Dimitris J., et al.
Published: (2003)

Optimizing influenza vaccine composition: A machine learning approach
by: Bandi, Hari, et al.
Published: (2022)

Rough Set Discretize Classification of Intrusion Detection System
by: Noor Suhana, Sulaiman, et al.
Published: (2016)