Prospecting for gems in credit card data
By David J. Hand, G. Blunt. 2001
50 citations recorded by the source corpus.
Subfields: Artificial Intelligence
View Paper: https://www.semanticscholar.org/paper/389d4404dff07a2c40eb53d7ec95790f79f78dae
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Richard J. Bolton
- David J. Hand
- Gianluca Bontempi
- Andrea Dal Pozzolo
- Indrė Žliobaitė
- David S. Matteson
- Nicholas A. James
- Harald Steck
Citations in the corpus
- A cost-sensitive decision tree approach for fraud detection (2013, background): “The general background of the credit card systems and non-technical knowledge about this fraud domain can be learned from Hanagandi, Dhar, and Buescher (1996) and Hand and Blunt (2001), respectively.”
- Unsupervised Profiling Methods for Fraud Detection (2002, background): “An example of the patterns exhibited by individual customers (Figure 16 of Hand and Blunt (2000)), shows how the slopes of cumulative credit card spend over time are remarkably linear; this suggests that a linear statistic such as the mean will be a suitable measure of credit card spending over time”
- Statistical fraud detection: A review (2002, background): “A simple example of the patterns exhibited by individual customers is given in Figure 16 of Hand and Blunt (2001), which shows how the slopes of cumulative credit card spending over time are remarkably linear.”