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» Camouflaged fraud detection in domains with complex relation...
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KDD
2006
ACM
155views Data Mining» more  KDD 2006»
12 years 5 months ago
Camouflaged fraud detection in domains with complex relationships
We describe a data mining system to detect frauds that are camouflaged to look like normal activities in domains with high number of known relationships. Examples include accounti...
Sankar Virdhagriswaran, Gordon Dakin
VLDB
2005
ACM
153views Database» more  VLDB 2005»
12 years 5 months ago
An effective and efficient algorithm for high-dimensional outlier detection
Abstract. The outlier detection problem has important applications in the field of fraud detection, network robustness analysis, and intrusion detection. Most such applications are...
Charu C. Aggarwal, Philip S. Yu
SIGMOD
2001
ACM
142views Database» more  SIGMOD 2001»
12 years 5 months ago
Outlier Detection for High Dimensional Data
The outlier detection problem has important applications in the eld of fraud detection, network robustness analysis, and intrusion detection. Most such applications are high dimen...
Charu C. Aggarwal, Philip S. Yu
DMIN
2007
110views Data Mining» more  DMIN 2007»
11 years 6 months ago
Mining for Structural Anomalies in Graph-based Data
—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...
William Eberle, Lawrence B. Holder
CP
2007
Springer
11 years 11 months ago
Tradeoffs in the Complexity of Backdoor Detection
Abstract There has been considerable interest in the identification of structural properties of combinatorial problems that lead to efficient algorithms for solving them. Some of...
Bistra N. Dilkina, Carla P. Gomes, Ashish Sabharwa...
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