Detecting shoplifting from customer behavior data by extended XCS-SL: Towards feature extraction on class-imbalanced sequence data

Minato Sato, Kotaro Usui, Masaya Nakata, Keiki Takadama. Detecting shoplifting from customer behavior data by extended XCS-SL: Towards feature extraction on class-imbalanced sequence data. In IEEE Congress on Evolutionary Computation, CEC 2015, Sendai, Japan, May 25-28, 2015. pages 2981-2988, IEEE, 2015. [doi]

References

No references recorded for this publication.

Cited by

No citations of this publication recorded.