Goal-oriented sequential pattern for network banking churn analysis

Goal-oriented sequential pattern for network banking churn analysis

Discovering sequential patterns is one of the most important task in data mining. In this paper we propose an efficient algorithm, called Goal-oriented sequential pattern. It can provide enterprises warning signs soon before they are losing valuable customers and give them reference for decision mak...

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Veröffentlicht in:Expert systems with applications 2003-10, Vol.25 (3), p.293-302
Hauptverfasser: Chiang, Ding-An, Wang, Yi-Fan, Lee, Shao-Lun, Lin, Cheng-Jung
Format: Artikel
Sprache:eng
Schlagworte:
Association rule
Data mining
Goal-oriented
Retention analysis
Sequential pattern
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Zusammenfassung:Discovering sequential patterns is one of the most important task in data mining. In this paper we propose an efficient algorithm, called Goal-oriented sequential pattern. It can provide enterprises warning signs soon before they are losing valuable customers and give them reference for decision making. Experiments comparing Apriori showed that Goal-oriented is more efficient, and performs reasonably well for the rules.
ISSN:0957-4174
1873-6793
DOI:10.1016/S0957-4174(03)00073-3