Relational data pre-processing techniques for improved securities fraud detection
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD '07)
By Andrew Fast, Brian Taylor, David Jensen, Henry G. Goldberg, John Komoroske, Lisa Friedland, Marc Maier
Issue Date:August 2007
Commercial datasets are often large, relational, and dynamic. They contain many records of people, places, things, events and their interactions over time. Such datasets are rarely structured appropriately for knowledge discovery, and they often contain va...