75 search results - page 4 / 15 » Data Mining Prototype for Detecting E-Commerce Fraud |
ICDM
2007
IEEE
14 years 1 months ago
2007
IEEE
The ability to mine data represented as a graph has become important in several domains for detecting various structural patterns. One important area of data mining is anomaly det...
DMIN
2007
13 years 9 months ago
2007
—In this paper we present graph-based approaches to mining for anomalies in domains where the anomalies consist of unexpected entity/relationship alterations that closely resembl...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
— Outliers refer to “minority” data that are different from most other data. They usually disturb data mining process. But, sometimes they provide valuable information. Thus,...
KDD
2003
ACM
14 years 7 months ago
2003
ACM
Anomaly detection is an area that has received much attention in recent years. It has a wide variety of applications, including fraud detection and network intrusion detection. A ...
DPD
2002
13 years 7 months ago
2002
Data mining is a new, important and fast growing database application. Outlier (exception) detection is one kind of data mining, which can be applied in a variety of areas like mon...