Material Detail
Detecting Changes in Large Data Sets of Payments Cards Data: A Case Study
This video was recorded at 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), San Jose 2007. An important problem in data mining is detecting changes in large data sets. Although there are a variety of change detection algorithms that have been developed, in practice it can be a problem to scale these algorithms to large data sets due to the heterogeneity of the data. In this paper, we describe a case study involving payment card data in which we built and monitored a separate change detection model for each cell in a multi-dimensional data cube. We describe a system that has been in operation for the past two years that builds and monitors over 15,000 separate baseline models and the process that is used for generating and investigating alerts using these baselines.
Quality
- User Rating
- Comments
- Learning Exercises
- Bookmark Collections
- Course ePortfolios
- Accessibility Info
More about this material
- Mobile Compatibility:
- Not specified at this time
- Language:
- English
- Cost Involved:
- No
- Source Code Available:
- No
- Accessibility Information Available:
- Unknown
- Creative Commons:
-
This work is licensed under a Attribution-NonCommercial-NoDerivs 3.0 United States
