Neural network/conceptual clustering fraud detection architecture
Number of patents in Portfolio can not be more than 2000
United States of America Patent
Stats
-
Oct 13, 1998
Grant Date -
N/A
app pub date -
Feb 5, 1996
filing date -
Feb 5, 1996
priority date (Note) -
In Force
status (Latency Note)
Importance
Abstract
The invention relates to an apparatus for detecting fraud using a neural network. The architecture of the system involves first employing a conceptual clustering technique to generate a collection of classes from historical data. Neural networks are provided for each class created by the clustering step and the networks are trained using the same historical data. This apparatus is particularly useful for detecting the incidence of fraudulent activity from very large amounts of data such as tax returns or insurance claims.
First Claim
Family
International Classification(s)
Cited Art Landscape
Patent Citation Ranking
Advertisement
Advertisement
Advertisement
Recipient Email Address
Recipient Email Address
Comment
Recipient Email Address
Add to Portfolio(s)
To add this patent to one, or more, of your portfolios, simply click the add button.
This Patent is in these Portfolios:
Add to additional portfolios:
Last Refreshed On:
Changes done successfully