Related references
Note: Only part of the references are listed.CATCHM: A novel network-based credit card fraud detection method using node representation learning*
Rafael Van Belle et al.
DECISION SUPPORT SYSTEMS (2023)
B2Boost: instance-dependent profit-driven modelling of B2B churn
Bram Janssens et al.
ANNALS OF OPERATIONS RESEARCH (2022)
Churn prediction in digital game-based learning using data mining techniques: Logistic regression, decision tree, and random forest
Mai Kiguchi et al.
APPLIED SOFT COMPUTING (2022)
An Ensemble Framework for Improving the Prediction of Deleterious Synonymous Mutation
Na Cheng et al.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY (2022)
Customer Churn Prediction in B2B Non-Contractual Business Settings Using Invoice Data
Milan Mirkovic et al.
APPLIED SCIENCES-BASEL (2022)
A New 360° Framework to Predict Customer Lifetime Value for Multi-Category E-Commerce Companies Using a Multi-Output Deep Neural Network and Explainable Artificial Intelligence
Gulsah Yilmaz Benk et al.
INFORMATION (2022)
Ensemble learning with a genetic algorithm for surface roughness prediction in multi-jet polishing
Ruoxin Wang et al.
EXPERT SYSTEMS WITH APPLICATIONS (2022)
A Sampling-Based Stack Framework for Imbalanced Learning in Churn Prediction
Soumi De et al.
IEEE ACCESS (2022)
Targeting customers for profit: An ensemble learning framework to support marketing decision-making
Stefan Lessmann et al.
INFORMATION SCIENCES (2021)
Leveraging unstructured call log data for customer churn prediction
Nhi N. Y. Vo et al.
KNOWLEDGE-BASED SYSTEMS (2021)
Predicting donation behavior: Acquisition modeling in the nonprofit sector using Facebook data
Lisa Schetgen et al.
DECISION SUPPORT SYSTEMS (2021)
Box office sales and social media: A cross-platform comparison of predictive ability and mechanisms
Matthias Bogaert et al.
DECISION SUPPORT SYSTEMS (2021)
Spline-rule ensemble classifiers with structured sparsity regularization for interpretable customer churn modeling
Koen W. De Bock et al.
DECISION SUPPORT SYSTEMS (2021)
Deep learning for credit scoring: Do or don't?
Bjorn Rafn Gunnarsson et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2021)
Churn Prediction in Telecom Industry using Machine Learning Ensembles with Class Balancing
Abdullahi Chowdhury et al.
2021 IEEE ASIA-PACIFIC CONFERENCE ON COMPUTER SCIENCE AND DATA ENGINEERING (CSDE) (2021)
Leveraging the efficiency of Ensembles for Customer Retention
Neha Sunil Bhujbal et al.
PROCEEDINGS OF THE 2021 FIFTH INTERNATIONAL CONFERENCE ON I-SMAC (IOT IN SOCIAL, MOBILE, ANALYTICS AND CLOUD) (I-SMAC 2021) (2021)
How training on multiple time slices improves performance in churn prediction
Theresa Gattermann-Itschert et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2021)
Integrated Churn Prediction and Customer Segmentation Framework for Telco Business
Shuli Wu et al.
IEEE ACCESS (2021)
Cost-sensitive business failure prediction when misclassification costs are uncertain: A heterogeneous ensemble selection approach
Koen W. De Bock et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2020)
Prediction of Neuropeptides from Sequence Information Using Ensemble Classifier and Hybrid Features
Yannan Bin et al.
JOURNAL OF PROTEOME RESEARCH (2020)
A Survey on Churn Analysis in Various Business Domains
Jaehyun Ahn et al.
IEEE ACCESS (2020)
Chum Prediction in Telecommunication using Logistic Regression and Logit Boost
Hemlata Jain et al.
INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND DATA SCIENCE (2020)
A novel tree-based dynamic heterogeneous ensemble method for credit scoring
Yufei Xia et al.
EXPERT SYSTEMS WITH APPLICATIONS (2020)
Fitting Prediction Rule Ensembles with R Package pre
Marjolein Fokkema
JOURNAL OF STATISTICAL SOFTWARE (2020)
Evaluating multi-label classifiers and recommender systems in the financial service sector
Matthias Bogaert et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2019)
Customer churn prediction in telecommunication industry using data certainty
Adnan Amin et al.
JOURNAL OF BUSINESS RESEARCH (2019)
A Churn Prediction Model Using Random Forest: Analysis of Machine Learning Techniques for Churn Prediction and Factor Identification in Telecom Sector
Irfan Ullah et al.
IEEE ACCESS (2019)
A Novel Reject Inference Model Using Outlier Detection and Gradient Boosting Technique in Peer-to-Peer Lending
Yufei Xia
IEEE ACCESS (2019)
Evaluating the importance of different communication types in romantic tie prediction on social media
Matthias Bogaert et al.
ANNALS OF OPERATIONS RESEARCH (2018)
Benchmarking sampling techniques for imbalance learning in churn prediction
Bing Zhu et al.
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY (2018)
A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees
Arno De Caigny et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2018)
A novel heterogeneous ensemble credit scoring model based on bstacking approach
Yufei Xia et al.
EXPERT SYSTEMS WITH APPLICATIONS (2018)
Study on a prediction of P2P network loan default based on the machine learning LightGBM and XGboost algorithms according to different high dimensional data cleaning
Xiaojun Ma et al.
ELECTRONIC COMMERCE RESEARCH AND APPLICATIONS (2018)
Social network analytics for churn prediction in telco: Model building, evaluation and network architecture
Maria Oskarsdottir et al.
EXPERT SYSTEMS WITH APPLICATIONS (2017)
A comparative study on base classifiers in ensemble methods for credit scoring
Joaquin Abelian et al.
EXPERT SYSTEMS WITH APPLICATIONS (2017)
An empirical comparison of techniques for the class imbalance problem in churn prediction
Bing Zhu et al.
INFORMATION SCIENCES (2017)
A comparative analysis of data preparation algorithms for customer churn prediction: A case study in the telecommunication industry
Kristof Coussement et al.
DECISION SUPPORT SYSTEMS (2017)
Social media optimization: Identifying an optimal strategy for increasing network size on Facebook
Michel Ballings et al.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE (2016)
Including high-cardinality attributes in predictive models: A case study in churn prediction in the energy sector
Julie Moeyersoms et al.
DECISION SUPPORT SYSTEMS (2015)
CRM in social media: Predicting increases in Facebook usage frequency
Michel Ballings et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2015)
Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research
Stefan Lessmann et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2015)
A Bayesian approach for comparing cross-validated algorithms on multiple data sets
Giorgio Corani et al.
MACHINE LEARNING (2015)
A comparison of machine learning techniques for customer churn prediction
T. Vafeiadis et al.
SIMULATION MODELLING PRACTICE AND THEORY (2015)
Particle swarm optimisation for feature selection in classification: Novel initialisation and updating mechanisms
Bing Xue et al.
APPLIED SOFT COMPUTING (2014)
A survey of multiple classifier systems as hybrid systems
Michal Wozniak et al.
INFORMATION FUSION (2014)
Integrating complementary techniques for promoting diversity in classifier ensembles: A systematic study
Diego S. C. Nascirnento et al.
NEUROCOMPUTING (2014)
Kernel Factory: An ensemble of kernel machines
Michel Ballings et al.
EXPERT SYSTEMS WITH APPLICATIONS (2013)
A Novel Profit Maximizing Metric for Measuring Classification Performance of Customer Churn Prediction Models
Thomas Verbraken et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2013)
Ensemble classifier generation using non-uniform layered clustering and Genetic Algorithm
Ashfaqur Rahman et al.
KNOWLEDGE-BASED SYSTEMS (2013)
Customer churn prediction in the online gambling industry: The beneficial effect of ensemble learning
Kristof Coussement et al.
JOURNAL OF BUSINESS RESEARCH (2013)
Churn prediction in telecom using Random Forest and PSO based data balancing in combination with various feature selection strategies
Adnan Idris et al.
COMPUTERS & ELECTRICAL ENGINEERING (2012)
New insights into churn prediction in the telecommunication sector: A profit driven data mining approach
Wouter Verbeke et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2012)
Uniformly subsampled ensemble (USE) for churn management: Theory and implementation
Namhyoung Kim et al.
EXPERT SYSTEMS WITH APPLICATIONS (2012)
Customer event history for churn prediction: How long is long enough?
Michel Ballings et al.
EXPERT SYSTEMS WITH APPLICATIONS (2012)
Reconciling performance and interpretability in customer churn prediction using ensemble learning based on generalized additive models
Koen W. De Bock et al.
EXPERT SYSTEMS WITH APPLICATIONS (2012)
A probability-mapping algorithm for calibrating the posterior probabilities: A direct marketing application
Kristof Coussement et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2011)
Credit card churn forecasting by logistic regression and decision tree
Guangli Nie et al.
EXPERT SYSTEMS WITH APPLICATIONS (2011)
An empirical evaluation of rotation-based ensemble classifiers for customer churn prediction
Koen W. De Bock et al.
EXPERT SYSTEMS WITH APPLICATIONS (2011)
Memetic Algorithms for Continuous Optimisation Based on Local Search Chains
Daniel Molina et al.
EVOLUTIONARY COMPUTATION (2010)
Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power
Salvador Garcia et al.
INFORMATION SCIENCES (2010)
Handling class imbalance in customer churn prediction
J. Burez et al.
EXPERT SYSTEMS WITH APPLICATIONS (2009)
Customer churn prediction by hybrid neural networks
Chih-Fong Tsai et al.
EXPERT SYSTEMS WITH APPLICATIONS (2009)
Customer churn prediction using improved balanced random forests
Yaya Xie et al.
EXPERT SYSTEMS WITH APPLICATIONS (2009)
Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniques
Kristof Coussement et al.
EXPERT SYSTEMS WITH APPLICATIONS (2008)
CRM at a pay-TV company: Using analytical models to reduce customer attrition by targeted marketing for subscription services
Jonathan Burez et al.
EXPERT SYSTEMS WITH APPLICATIONS (2007)
Applying data mining to telecom chum management
SY Hung et al.
EXPERT SYSTEMS WITH APPLICATIONS (2006)
Using simulated annealing to optimize the feature selection problem in marketing applications
R Meiri et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2006)
Defection detection: Measuring and understanding the predictive accuracy of customer churn models
SA Neslin et al.
JOURNAL OF MARKETING RESEARCH (2006)
Bagging and boosting classification trees to predict churn
A Lemmens et al.
JOURNAL OF MARKETING RESEARCH (2006)
Customer base analysis: partial defection of behaviourally loyal clients in a non-contractual FMCG retail setting
W Buckinx et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2005)
Logistic model trees
N Landwehr et al.
MACHINE LEARNING (2005)
Customer attrition analysis for financial services using proportional hazard models
D Van den Poel et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2004)
Benchmarking state-of-the-art classification algorithms for credit scoring
B Baesens et al.
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY (2003)
Attribute bagging: improving accuracy of classifier ensembles by using random feature subsets
R Bryll et al.
PATTERN RECOGNITION (2003)
Ensembling neural networks: Many could be better than all
ZH Zhou et al.
ARTIFICIAL INTELLIGENCE (2002)
Stochastic gradient boosting
JH Friedman
COMPUTATIONAL STATISTICS & DATA ANALYSIS (2002)