A Data Mining Application: Customer Retention at the Port of Singapore Authority (PSA)
Summary: PSA retention via data mining: decision-tree induction, deviation analysis, and multi-level association rules to gauge loyalty. Offers a novel, integrative approach for predicting defection and guiding retention decisions from early-warning signals. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. KianSing Ng
- 2. Huan Liu
- 3. HweeBong Kwah
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 36 | Fast Algorithms for Mining Association Rules | 1994 | VLDB | 0.00076114894 |
| 229 | Discovery of Multiple-Level Association Rules from Large Databases | 1995 | VLDB | 0.0003226623 |
| 232 | An Interval Classifier for Database Mining Applications | 1992 | VLDB | 0.00032060702 |
| 602 | Mining Quantitative Association Rules in Large Relational Tables | 1996 | SIGMOD | 0.00019350521 |
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