Self-organization and associative memory: 3rd edition
Self-organization and associative memory: 3rd edition
Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Learning Boolean concepts in the presence of many irrelevant features
Artificial Intelligence
Wrappers for feature subset selection
Artificial Intelligence - Special issue on relevance
Targeting the right students using data mining
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Defection detection: using activity profiles to predict ISP customer vulnerability
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Automated Cellular Modeling and Prediction on a Large Scale
Artificial Intelligence Review - Issues on the application of data mining
Customer Retention via Data Mining
Artificial Intelligence Review - Issues on the application of data mining
Neuro-Fuzzy Techniques for Intelligent Information Systems
Neuro-Fuzzy Techniques for Intelligent Information Systems
Customer Relationship Management: A Strategic Imperative in the World of e-Business
Customer Relationship Management: A Strategic Imperative in the World of e-Business
Building Data Mining Applications for CRM
Building Data Mining Applications for CRM
ICCS '01 Proceedings of the International Conference on Computational Science-Part II
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Genetic Modelling of Customer Retention
EuroGP '98 Proceedings of the First European Workshop on Genetic Programming
Analysis of navigation behaviour in web sites integrating multiple information systems
The VLDB Journal — The International Journal on Very Large Data Bases
Process Monitoring and Modeling Using the Self-Organizing Map
Integrated Computer-Aided Engineering
A novel normalization technique for unsupervised learning in ANN
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
Expert Systems with Applications: An International Journal
Customer attrition in retailing: An application of Multivariate Adaptive Regression Splines
Expert Systems with Applications: An International Journal
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Customer retention is an increasinglypressing issue in today's competitiveenvironment. This paper proposes a personalizeddefection detection and prevention procedurebased on the observation that potentialdefectors have a tendency to take a couple ofmonths or weeks to gradually change theirbehaviour (i.e., trim-out their usage volume)before their eventual withdrawal. For thispurpose, we suggest a SOM (Self-Organizing Map)based procedure to determine the possiblestates of customer behaviour from pastbehaviour data. Based on this staterepresentation, potential defectors aredetected by comparing their monitoredtrajectories of behaviour states with frequentand confident trajectories of past defectors.Also, the proposed procedure is extended toprevent the defection of potential defectors byrecommending the desirable behaviour state forthe next period so as to lower the likelihoodof defection. For the evaluation of theproposed procedure, a case study has beenconducted for a Korean online game site. Theresult demonstrates that the proposed procedureis effective for defection prevention andefficiently detects potential defectors withoutdeterioration of prediction accuracy whencompared to that of the MLP (Multi-LayerPerceptron) neural networks.