Papers available (chose among those still not assigned):

• Association rules applied to credit card fraud detection.
• Data mining for credit card fraud: A comparative study.
• Predicting Customer Churn in Mobile Telephony Industry Using Probabilistic Classifiers in Data Mining.
• Credit card fraud detection: A fusion approach using Dempster-Shafer theory and Bayesian learning.
• Mining changes in customer behavior in retail marketing. – ASSIGNED! (Xu-Theunissen, May 5th)
• Efficient Mining of Temporally Annotated Sequences.
• An e-customer behavior model with online analytical mining for internet marketing planning. – ASSIGNED! (Dal Grande-Piacentini, May 5th)
• Goal-oriented sequential pattern for network banking churn analysis.
• Efficient enumeration of frequent sequences.
• Applying data mining to telecom churn management.