Proceedings of the sixth international workshop on Machine learning
C4.5: programs for machine learning
C4.5: programs for machine learning
Mining quantitative association rules in large relational tables
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
From data mining to knowledge discovery: an overview
Advances in knowledge discovery and data mining
Attribute-oriented induction in data mining
Advances in knowledge discovery and data mining
Selection of relevant features and examples in machine learning
Artificial Intelligence - Special issue on relevance
Feature Selection for Knowledge Discovery and Data Mining
Feature Selection for Knowledge Discovery and Data Mining
Machine Learning
Database Mining: A Performance Perspective
IEEE Transactions on Knowledge and Data Engineering
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Efficiently handling feature redundancy in high-dimensional data
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
A selective sampling approach to active feature selection
Artificial Intelligence
Efficient Feature Selection via Analysis of Relevance and Redundancy
The Journal of Machine Learning Research
Toward Integrating Feature Selection Algorithms for Classification and Clustering
IEEE Transactions on Knowledge and Data Engineering
Computer assisted customer churn management: State-of-the-art and future trends
Computers and Operations Research
Employee turnover: a novel prediction solution with effective feature selection
CEA'09 Proceedings of the 3rd WSEAS international conference on Computer engineering and applications
A proximate dynamics model for data mining
Expert Systems with Applications: An International Journal
Employee turnover: a novel prediction solution with effective feature selection
WSEAS Transactions on Information Science and Applications
Preserving Privacy versus Data Retention
TAMC '09 Proceedings of the 6th Annual Conference on Theory and Applications of Models of Computation
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Neural Network Classifier with Entropy Based Feature Selection on Breast Cancer Diagnosis
Journal of Medical Systems
Application of data mining techniques for customer lifetime value parameters: a review
International Journal of Business Information Systems
Nearest-neighbor guided evaluation of data reliability and its applications
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A scalable approach to simultaneous evolutionary instance and feature selection
Information Sciences: an International Journal
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``Customer Retention'' is an increasingly pressing issue intoday's ever-competitive commercial arena. This is especially relevantand important for sales and services related industries. Motivated by areal-world problem faced by a large company, we proposed a solution thatintegrates various techniques of data mining, such as featureselection via induction, deviation analysis, and mining multipleconcept-level association rules to form an intuitive and novel approachto gauging customer loyalty and predicting their likelihood ofdefection. Immediate action triggered by these ``early-warnings''resulting from data mining is often the key to eventual customerretention.