- Home
- Publications
- Publication Search
- Publication Details
Title
An effective strategy for churn prediction and customer profiling
Authors
Keywords
-
Journal
DATA & KNOWLEDGE ENGINEERING
Volume 142, Issue -, Pages 102100
Publisher
Elsevier BV
Online
2022-10-18
DOI
10.1016/j.datak.2022.102100
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Deep Learning for Anomaly Detection
- (2021) Guansong Pang et al. ACM COMPUTING SURVEYS
- Semi-supervised anomaly detection algorithms: A comparative summary and future research directions
- (2021) Miryam Elizabeth Villa-Pérez et al. KNOWLEDGE-BASED SYSTEMS
- GEV-NN: A deep neural network architecture for class imbalance problem in binary classification
- (2020) Lkhagvadorj Munkhdalai et al. KNOWLEDGE-BASED SYSTEMS
- One-class support vector classifiers: A survey
- (2020) Shamshe Alam et al. KNOWLEDGE-BASED SYSTEMS
- Spectral clustering via ensemble deep autoencoder learning (SC-EDAE)
- (2020) Séverine Affeldt et al. PATTERN RECOGNITION
- Anomaly Detection Methods for Categorical Data
- (2019) Ayman Taha et al. ACM COMPUTING SURVEYS
- A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees
- (2018) Arno De Caigny et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- Time series for early churn detection: Using similarity based classification for dynamic networks
- (2018) María Óskarsdóttir et al. EXPERT SYSTEMS WITH APPLICATIONS
- Classifiers Combination Techniques: A Comprehensive Review
- (2018) Mohamed Mohandes et al. IEEE Access
- Imbalance learning for the prediction of N6-Methylation sites in mRNAs
- (2018) Zhixun Zhao et al. BMC GENOMICS
- An effective multivariate time series classification approach using echo state network and adaptive differential evolution algorithm
- (2016) Lin Wang et al. EXPERT SYSTEMS WITH APPLICATIONS
- A comparison of machine learning techniques for customer churn prediction
- (2015) T. Vafeiadis et al. SIMULATION MODELLING PRACTICE AND THEORY
- Improved churn prediction in telecommunication industry using data mining techniques
- (2014) A. Keramati et al. APPLIED SOFT COMPUTING
- Assessing the impact of derived behavior information on customer attrition in the financial service industry
- (2014) Leilei Tang et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics
- (2013) Victoria López et al. INFORMATION SCIENCES
- Improving customer retention in financial services using kinship network information
- (2012) Dries F. Benoit et al. EXPERT SYSTEMS WITH APPLICATIONS
- Isolation-Based Anomaly Detection
- (2012) Fei Tony Liu et al. ACM Transactions on Knowledge Discovery from Data
- On the effectiveness of preprocessing methods when dealing with different levels of class imbalance
- (2011) V. García et al. KNOWLEDGE-BASED SYSTEMS
- Modelling and predicting customer churn from an insurance company
- (2011) Clara-Cecilie Günther et al. Scandinavian Actuarial Journal
- Employee churn prediction
- (2010) V. Vijaya Saradhi et al. EXPERT SYSTEMS WITH APPLICATIONS
- Combining discrete SVM and fixed cardinality warping distances for multivariate time series classification
- (2010) C. Orsenigo et al. PATTERN RECOGNITION
- Anomaly detection
- (2009) Varun Chandola et al. ACM COMPUTING SURVEYS
- Improved marketing decision making in a customer churn prediction context using generalized additive models
- (2009) Kristof Coussement et al. EXPERT SYSTEMS WITH APPLICATIONS
- Handling class imbalance in customer churn prediction
- (2008) J. Burez et al. EXPERT SYSTEMS WITH APPLICATIONS
- Multiple factor analysis and clustering of a mixture of quantitative, categorical and frequency data
- (2007) Mónica Bécue-Bertaut et al. COMPUTATIONAL STATISTICS & DATA ANALYSIS
- Intelligent value-based customer segmentation method for campaign management: A case study of automobile retailer
- (2007) C CHAN EXPERT SYSTEMS WITH APPLICATIONS
- Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniques
- (2006) Kristof Coussement et al. EXPERT SYSTEMS WITH APPLICATIONS
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started