Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
Identifying prospective customers
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Evolutionary algorithms in data mining: multi-objective performance modeling for direct marketing
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Customer Retention via Data Mining
Artificial Intelligence Review - Issues on the application of data mining
CHAMP: A Prototype for Automated Cellular Churn Prediction
Data Mining and Knowledge Discovery
Data Mining and Knowledge Discovery in Business Databases
ISMIS '96 Proceedings of the 9th International Symposium on Foundations of Intelligent Systems
An intelligent system for customer targeting: a data mining approach
Decision Support Systems
Customer Targeting: A Neural Network Approach Guided by Genetic Algorithms
Management Science
Customer Relationship Management: Getting It Right!
Customer Relationship Management: Getting It Right!
Data mining research for customer relationship management systems: a framework and analysis
International Journal of Business Information Systems
Expert Systems with Applications: An International Journal
Toward a successful CRM: variable selection, sampling, and ensemble
Decision Support Systems
A novel evolutionary data mining algorithm with applications to churn prediction
IEEE Transactions on Evolutionary Computation
Evolutionary optimization of radial basis function classifiers for data mining applications
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Data mining in soft computing framework: a survey
IEEE Transactions on Neural Networks
Social media and online dating service providers: reexamining the new face of romance
International Journal of Business Information Systems
Microchip implants' logistical efficiencies and ethical issues
International Journal of Mobile Communications
International Journal of Business Information Systems
Summarising customer online reviews using a new text mining approach
International Journal of Business Information Systems
A conceptual model for proactive-interactive customer complaint management systems
International Journal of Business Information Systems
International Journal of Business Information Systems
Direct mailing decisions based on the worst and best practice cross-efficiency evaluations
International Journal of Business Information Systems
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Computational and digital advancements with the advent of relationship marketing have changed the land signs of business. Digital revolution led to generation and collection of data in companies and extracting knowledge from this data through knowledge discovery in databases (KDD) process. KDD involves many steps, of which an important step is data mining. Data mining is a process of extracting patterns in data through statistical and other techniques and algorithms. In business, firms are shifting their marketing approach from mass marketing to relationship based marketing leading to an era of customer relationship management (CRM). CRM requires sustainable long term relationship with customers and allocation of resources to maintain these relationships. Customer lifetime value (CLV) is a metric to justify resource allocation by segregating customers on the basis of their contribution to the company. In this paper we review applications of statistical and data mining techniques for predicting CLV and its parameters. The applications of techniques such as logistic regression, decision trees, artificial neural networks, genetic algorithms, fuzzy logic and support vector machines are covered. In the end, a case study is presented to estimate few CLV parameters for a direct marketing company.