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)

Paper ID: 3116
Venue: SIGMOD
Year: 1998
Pagerank: 5.093636e-05
Overall Rank: 12,925 | 11.33%
DOI: 10.1145/276304.276364

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

1. KianSing Ng (National University of Singapore)
2. Huan Liu (National University of Singapore)
3. HweeBong Kwah (Port of Singapore Authority)

BibTeX Citation

@inproceedings{ng_sigmod98,
        title = {{A Data Mining Application: Customer Retention at the Port of Singapore Authority (PSA)}},
        author = {Ng, KianSing and Liu, Huan and Kwah, HweeBong},
        series = {{SIGMOD} '98},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/276304.276364},
        url = {https://dl.acm.org/doi/10.1145/276304.276364},
        year = {1998}
}

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank

Outgoing Citations (Sorted by Pagerank)

Showing 4 of 4 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
27	Fast Algorithms for Mining Association Rules	1994	VLDB	0.00052255472
440	An Interval Classifier for Database Mining Applications	1992	VLDB	0.00018409145
456	Discovery of Multiple-Level Association Rules from Large Databases	1995	VLDB	0.00018124452
606	Mining Quantitative Association Rules in Large Relational Tables	1996	SIGMOD	0.00015804851

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