Synergies between operations research and data mining: The emerging use of multi-objective approaches

No abstract is available for this paper.

• Publication year

  2012

• Venue

  European Journal of Operational Research

• Publication date

  2012-09-16

• Fields of study

  Mathematics, Business, Computer Science

• Identifiers
  DOI 10.1016/J.EJOR.2012.03.039
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• A hybrid data mining GRASP with path-relinking

  2013cited by this paper
• Studies in Fuzziness and Soft Computing

  2013cited by this paper
• Classification and regression trees

  2012cited by this paper
• Knowledge Discovery and Interestingness Measures: A Survey

  2012cited by this paper
• Multiobjective Genetic Algorithms for Clustering - Applications in Data Mining and Bioinformatics

  2011cited by this paper
• Optimization problems in statistical learning: Duality and optimality conditions

  2011cited by this paper
• Simple algorithm portfolio for SAT

  2011cited by this paper
• Multi-objective evolutionary algorithm for bi-clustering in microarrays data

  2011cited by this paper
• A new mathematical programming approach to multi-group classification problems

  2011cited by this paper
• A hybrid evolutionary metaheuristics (HEMH) applied on 0/1 multiobjective knapsack problems

  2011cited by this paper
• Synergies of Operations Research and Data Mining

  2010cited by this paper
• Generalizing Surrogate-Assisted Evolutionary Computation

  2010cited by this paper
• Using decision rules to achieve mass customization of airline services

  2010cited by this paper
• Sensitivity Versus Accuracy in Multiclass Problems Using Memetic Pareto Evolutionary Neural Networks

  2010cited by this paper
• Handling multicriteria preferences in cluster analysis

  2010cited by this paper
• Multi-objective Genetic Algorithms for grouping problems

  2010cited by this paper
• Learning-assisted evolutionary search for scalable function optimization: LEM(ID3)

  2010cited by this paper
• User-preference-oriented multi-objective optimization algorithm

  2010cited by this paper
• F-Race and Iterated F-Race: An Overview

  2010cited by this paper
• A Survey of Evolutionary Algorithms for Clustering

  2009cited by this paper
• Multiobjective Optimization and Rule Learning: Subselection Algorithm or Meta-heuristic Algorithm?

  2009cited by this paper
• Adaptability of Algorithms for Real-Valued Optimization

  2009cited by this paper
• A mixed integer optimisation model for data classification

  2009cited by this paper
• A Preference-Based Evolutionary Algorithm for Multi-Objective Optimization

  2009cited by this paper
• Different metaheuristic strategies to solve the feature selection problem

  2009cited by this paper
• Multicriteria Attractiveness Evaluation of Decision and Association Rules

  2009cited by this paper
• A hybrid data mining metaheuristic for the p‐median problem

  2009cited by this paper
• Multiobjective classification with moGEP: an application in the network traffic domain

  2009cited by this paper
• Clustering high-dimensional data: A survey on subspace clustering, pattern-based clustering, and correlation clustering

  2009cited by this paper
• Sensitivity and specificity based multiobjective approach for feature selection: Application to cancer diagnosis

  2009cited by this paper
• Rough Sets in Decision Making

  2009cited by this paper
• A similarity-based surrogate model for expensive evolutionary optimization with fixed budget of simulations

  2009cited by this paper
• A Knowledge Discovery Approach to Understanding Relationships between Scheduling Problem Structure and Heuristic Performance

  2009cited by this paper
• Using machine learning in a cooperative hybrid parallel strategy of metaheuristics

  2009cited by this paper
• Transactions on Rough Sets X

  2009cited by this paper
• Tuning Metaheuristics - A Machine Learning Perspective

  2009cited by this paper
• Pareto-Based Multiobjective Machine Learning: An Overview and Case Studies

  2008cited by this paper
• Multiobjective Supervised Learning

  2008cited by this paper
• SATzilla: Portfolio-based Algorithm Selection for SAT

  2008cited by this paper
• Fitness inheritance in multiple objective evolutionary algorithms: A test bench and real-world evaluation

  2008cited by this paper
• An approach for predicting and describing patient outcome using multicriteria decision analysis and decision rules

  2008cited by this paper
• A Review of evolutionary Algorithms for Data Mining

  2008cited by this paper
• Evolutionary and metaheuristics based data mining

  2008cited by this paper
• Comparison of population based metaheuristics for feature selection: Application to microarray data classification

  2008cited by this paper
• Operations research and data mining

  2008cited by this paper
• Applications of the DM-GRASP heuristic: a survey

  2008cited by this paper
• Combining evolutionary algorithms and exact approaches for multi-objective knowledge discovery

  2008cited by this paper
• Mining Pareto-optimal rules with respect to support and confirmation or support and anti-support

  2007cited by this paper
• Using Q-learning Algorithm for Initialization of the GRASP Metaheuristic and Genetic Algorithm

  2007cited by this paper
• A machine learning approach to algorithm selection for $\mathcal{NP}$ -hard optimization problems: a case study on the MPE problem

  2007cited by this paper
• Supervised Machine Learning: A Review of Classification Techniques

  2007cited by this paper
• Using clustering analysis in a capacitated location-routing problem

  2007cited by this paper
• A classification model based on goal programming with non-standard preference functions with application to the prediction of cinema-going behaviour

  2007cited by this paper
• Multi-criteria classification - A new scheme for application of dominance-based decision rules

  2007cited by this paper
• An Evolutionary Approach to Multiobjective Clustering

  2007cited by this paper
• Multi-objective evolutionary biclustering of gene expression data

  2006cited by this paper
• A mixed-integer programming approach to multi-class data classification problem

  2006cited by this paper
• Optimization in Data Mining

  2006cited by this paper
• The application and effectiveness of a multi-objective metaheuristic algorithm for partial classification

  2006cited by this paper
• A mixed-integer programming approach to the clustering problem with an application in customer segmentation

  2006cited by this paper
• Introduction to operations research and data mining

  2006cited by this paper
• A Parallel Apriori Algorithm for Frequent Itemsets Mining

  2006cited by this paper
• Interestingness measures for data mining: A survey

  2006cited by this paper
• Two-group classification via a biobjective margin maximization model

  2006cited by this paper
• Using Datamining Techniques to Help Metaheuristics: A Short Survey

  2006cited by this paper
• Hybridization of GRASP Metaheuristic with Data Mining Techniques

  2006cited by this paper
• Multi-Objective Machine Learning

  2006cited by this paper
• Manufacturing lead time estimation using data mining

  2006cited by this paper
• Handbook of bioinspired algorithms and applications

  2005cited by this paper
• A comprehensive survey of fitness approximation in evolutionary computation

  2005cited by this paper
• APPLYING MACHINE LEARNING TO LOW‐KNOWLEDGE CONTROL OF OPTIMIZATION ALGORITHMS

  2005cited by this paper
• Integrating User Preferences into Evolutionary Multi-Objective Optimization

  2005cited by this paper
• Knowledge incorporation in evolutionary computation

  2005cited by this paper
• Improvements to the scalability of multiobjective clustering

  2005cited by this paper
• Preliminary Investigation of the 'Learnable Evolution Model' for Faster/Better Multiobjective Water Systems Design

  2005cited by this paper
• Survey of clustering algorithms

  2005cited by this paper
• Exploiting the Trade-off - The Benefits of Multiple Objectives in Data Clustering

  2005cited by this paper
• A Hybrid Evolutionary Algorithm for Knowledge Discovery in Microarray Experiments

  2005cited by this paper
• Data Mining: Concepts, Models, Methods, and Algorithms

  2005cited by this paper
• Clustering Nominal and Numerical Data: A New Distance Concept for a Hybrid Genetic Algorithm

  2004cited by this paper
• A Hybrid Multi-Objective Evolutionary Algorithm Using an Inverse Neural Network

  2004cited by this paper
• Understanding Random SAT: Beyond the Clauses-to-Variables Ratio

  2004cited by this paper
• Fitness Inheritance in the Bayesian Optimization Algorithm

  2004cited by this paper
• A multicriteria genetic algorithm to analyze microarray data

  2004cited by this paper
• Hybridising rule induction and multi-objective evolutionary search for optimising water distribution systems

  2004cited by this paper
• Partially Evaluated Genetic Algorithm Based on Fuzzy c-Means Algorithm

  2004cited by this paper
• LEARNABLE EVOLUTION MODEL: Evolutionary Processes Guided by Machine Learning

  2004cited by this paper
• Evolutionary Multiobjective Clustering

  2004cited by this paper
• Can Bayesian confirmation measures be useful for rough set decision rules?

  2004cited by this paper
• Reducing Fitness Evaluations Using Clustering Techniques and Neural Network Ensembles

  2004cited by this paper
• Feature Selection for Multiclass Discrimination via Mixed-Integer Linear Programming

  2003cited by this paper
• EFFICIENT IMPLEMENTATIONS OF APRIORI AND ECLAT

  2003cited by this paper
• An Introduction to Variable and Feature Selection

  2003cited by this paper
• Data mining with genetic algorithms on binary trees

  2003cited by this paper
• A Novel Hybrid Framework of Coevolutionary GA and Machine Learning

  2002cited by this paper
• Feature selection algorithms: a survey and experimental evaluation

  2002cited by this paper
• A fast and elitist multiobjective genetic algorithm: NSGA-II

  2002cited by this paper
• Selecting the right interestingness measure for association patterns

  2002cited by this paper
• An efficient genetic algorithm with less fitness evaluation by clustering

  2001cited by this paper
• A Bayesian Approach to Tackling Hard Computational Problems (Preliminary Report)

  2001cited by this paper

• Leveraging machine learning and optimization models for enhanced seaport efficiency

  2025cites this paper
• Deep-insights guided evolutionary algorithm for optimization

  2025cites this paper
• Overnight technician routing and scheduling problem with time windows and balanced workloads: a bi-objective zebra optimization algorithm

  2025cites this paper
• An improved hybrid genetic search with data mining for the CVRP

  2024cites this paper
• Subnetwork prediction approach for aircraft schedule recovery

  2024cites this paper
• Intelligent cross-entropy optimizer: A novel machine learning-based meta-heuristic for global optimization

  2024cites this paper
• Improving MOEA/D with Knowledge Discovery. Application to a Bi-objective Routing Problem

  2023cites this paper
• Proactive berth scheduling with data-driven buffer time in container terminals

  2023cites this paper
• Enhancing MOEA/D with learning: application to routing problems with time windows

  2022cites this paper
• Metaheuristics for data mining: survey and opportunities for big data

  2022cites this paper
• Stock market prediction using weighted inter-transaction class association rule mining and evolutionary algorithm

  2022cites this paper
• Literature review on using data mining in production planning and scheduling within the context of cyber physical systems

  2022cites this paper
• The synergistic effect of operational research and big data analytics in greening container terminal operations: A review and future directions

  2022cites this paper
• GMM-based online optimization for container stacking in port container terminals

  2022cites this paper
• A review of the role of heuristics in stochastic optimisation: from metaheuristics to learnheuristics

  2021cites this paper
• Machine learning at the service of meta-heuristics for solving combinatorial optimization problems: A state-of-the-art

  2021cites this paper
• Learning from the past to shape the future: A comprehensive text mining analysis of OR/MS reviews

  2021cites this paper
• INTEGRATED APPROACH OF FUZZY MULTI-ATTRIBUTE DECISION MAKING AND DATA MINING FOR CUSTOMER SEGMENTATION

  2021cites this paper
• Acceptability of Artificial Intelligence in Poultry Processing and Classification Efficiencies of Different Classification Models in the Categorisation of Breast Fillet Myopathies

  2021cites this paper
• Pattern mining-based pruning strategies in stochastic local searches for scheduling problems

  2021cites this paper
• Machine Learning into Metaheuristics

  2020cites this paper
• A combined data mining – optimization approach to manage trucks operations in container terminals with the use of a TAS: Application to an Italian and a Mexican port

  2020cites this paper
• Meta-learning to Select the Best Metaheuristic for the MaxSAT Problem

  2020cites this paper
• Feature selection based bee swarm meta-heuristic approach for combinatorial optimisation problems: a case-study on MaxSAT

  2020cites this paper
• Catch me if you scan: Data-driven prescriptive modeling for smart store environments

  2020cites this paper
• Statistical Machine Learning in Terms of Industry 4.0 and Investigation of the Impact of Big Data on the Competitiveness of Firms

  2020cites this paper
• Can structured EHR data support clinical coding? A data mining approach

  2020influential citation
• A data-driven optimization of large-scale dry port location using the hybrid approach of data mining and complex network theory

  2020cites this paper
• LOW POWER VLSI ARCHITECTURE FOR MINING MEDICAL DATA CHIP

  2020cites this paper
• Integrating IoT and Machine Learning – The Driving Force of Industry 4.0

  2019cites this paper
• Optimization Models for Machine Learning: A Survey

  2019cites this paper
• A hybrid data mining heuristic to solve the point‐feature cartographic label placement problem

  2019cites this paper
• Multi-objective Optimization Methods for Allocation and Prediction

  2019cites this paper
• Machine Learning based Continuous Knowledge Engineering for Additive Manufacturing

  2019cites this paper
• Operations Research and Emergent Technologies

  2019cites this paper
• Cost-sensitive Feature Selection for Support Vector Machines

  2019cites this paper
• A review on the self and dual interactions between machine learning and optimisation

  2019cites this paper
• Metaheuristics for data mining

  2019cites this paper
• On the Use of Learnheuristics in Vehicle Routing Optimization Problems with Dynamic Inputs

  2018cites this paper
• The value of political connections in the first German democracy : evidence from the Berlin stock exchange

  2017cites this paper
• On decomposition methods in interactive user-preference based optimization

  2017cites this paper
• Clustering surgical procedures for master surgical scheduling

  2017cites this paper
• Learnheuristics: hybridizing metaheuristics with machine learning for optimization with dynamic inputs

  2017cites this paper
• Which types of leadership styles do followers prefer? A decision tree approach

  2017cites this paper
• Decision making via semi-supervised machine learning techniques

  2016cites this paper
• Feature Selection Using Tabu Search with Learning Memory: Learning Tabu Search

  2016cites this paper
• Machine learning in manufacturing: advantages, challenges, and applications

  2016cites this paper
• Analityka biznesowa w zarządzaniu kadrami w przedsiębiorstwie. Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu = Research Papers of Wrocław University of Economics, 2016, Nr 429, s. 307-316

  2016cites this paper
• Prioritising data items for business analytics: Framework and application to human resources

  2016cites this paper
• A multi-objective model for discovering high-quality knowledge based on data quality and prior knowledge

  2016cites this paper
• Knowledge Discovery in Bioinformatics

  2015cites this paper
• Using multiobjective optimization for biclustering microarray data

  2015cites this paper
• Classification of countries' progress toward a knowledge economy based on machine learning classification techniques

  2015cites this paper
• Finished-vehicle transporter routing problem solved by loading pattern discovery

  2015cites this paper
• Decomposing the user-preference in multiobjective optimization

  2015cites this paper
• Time/cost optimization and forecasting in project scheduling and control

  2015cites this paper
• Using Multi-Objective Affinity Model for Mining the Rules of Revisits within 72 Hours for Emergency Department Patients

  2015cites this paper
• Use of a novel evolutionary algorithm for genomic selection

  2015cites this paper
• Decision Making and Decision Styles of Project Managers: A Preliminary Exploration Using Data Mining Techniques

  2015cites this paper
• Conception of a dominance-based multi-objective local search in the context of classification rule mining in large and imbalanced data sets

  2015cites this paper
• Finished-vehicle transporter routing problem solved by loading pattern discovery

  2015cites this paper
• Information in Command and Control: Connecting Mission Command and Social Network Analysis (Briefing Charts)

  2014cites this paper
• Population Classification in Fire Evacuation: A Multiobjective Particle Swarm Optimization Approach

  2014cites this paper
• Auction optimization using regression trees and linear models as integer programs

  2014cites this paper
• Auction optimization with models learned from data

  2014cites this paper
• Credit risk evaluation using multi-criteria optimization classifier with kernel, fuzzification and penalty factors

  2014cites this paper
• Quantile–DEA classifiers with interval data

  2014cites this paper
• Synergies of Data Mining and Multiple Attribute Decision Making

  2014cites this paper
• Modèles mixtes en génétique animale : sélection de variables par optimisation combinatoire

  2013cites this paper
• A REVIEW ON DATA MINING IN BANKING SECTOR

  2013cites this paper
• Optimisation combinatoire pour la sélection de variables en régression en grande dimension : Application en génétique animale. (Combinatorial optimization for variable selection in high dimensional regression: Application in animal genetic)

  2013cites this paper
• Supervised classification and mathematical optimization

  2013cites this paper
• MOCA-I: Discovering Rules and Guiding Decision Maker in the Context of Partial Classification in Large and Imbalanced Datasets

  2013cites this paper
• Bulk modulus prediction of austenitic stainless steel using a hybrid GA–ANN as a data mining tools

  2013cites this paper
• Designing hospital metrics: visual analytics and process improvement

  2012cites this paper
• Optimization problems in statistical learning: Duality and optimality conditions

  2011cites this paper
• In Partnership With: Université Des Sciences Et Technologies De Lille (lille 1) Project-team Dolphin Parallel Cooperative Multi-criteria Optimization Theme Optimization, Learning and Statisti- Cal Methods

  year unknowncites this paper
• Data Mining and its Application in Banking Industries in Nigeria

  year unknowncites this paper