Parallel Algorithms for Hierarchical Clustering and Cluster Validity
IEEE Transactions on Pattern Analysis and Machine Intelligence
Integration of biological sources: current systems and challenges ahead
ACM SIGMOD Record
Searching customer patterns of mobile service using clustering and quantitative association rule
Expert Systems with Applications: An International Journal
Visual intelligence density: definition, measurement, and implementation
Proceedings of the 10th International Conference NZ Chapter of the ACM's Special Interest Group on Human-Computer Interaction
Prognostic personal credit risk model considering censored information
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Segmenting customers by transaction data with concept hierarchy
Expert Systems with Applications: An International Journal
Modeling partial customer churn: On the value of first product-category purchase sequences
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
OKCashbag (OCB), the largest coalition loyalty program in Korea, offers a number of benefits such as sharing customer data with participating firms and cross-selling. There is great value in utilizing information pertaining to coalition loyal patrons. However, the size of transaction data is huge. We propose how to create necessary summary information by reducing the dimension of coalition transaction data. This information is then utilized to develop a behavior-scoring model. We expect that our study results can contribute to big data analysis for coalition loyalty program.