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» Intrusion detection techniques and approaches
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SIGSOFT
2007
ACM
16 years 7 months ago
Training on errors experiment to detect fault-prone software modules by spam filter
The fault-prone module detection in source code is of importance for assurance of software quality. Most of previous fault-prone detection approaches are based on software metrics...
Osamu Mizuno, Tohru Kikuno
AI
2006
Springer
15 years 10 months ago
Adaptive Fraud Detection Using Benford's Law
Abstract. Adaptive Benford's Law [1] is a digital analysis technique that specifies the probabilistic distribution of digits for many commonly occurring phenomena, even for in...
Fletcher Lu, J. Efrim Boritz, H. Dominic Covvey
KAIS
2006
77views more  KAIS 2006»
15 years 6 months ago
Finding centric local outliers in categorical/numerical spaces
Outlier detection techniques are widely used in many applications such as credit card fraud detection, monitoring criminal activities in electronic commerce, etc. These application...
Jeffrey Xu Yu, Weining Qian, Hongjun Lu, Aoying Zh...
FLAIRS
2010
15 years 8 months ago
Visual Object Detection using Frequent Pattern Mining
Object search in a visual scene is a highly challenging and computationally intensive task. Most of the current object detection techniques extract features from images for classi...
Yousuf Aboobaker Sait, Balaraman Ravindran
VLDB
2004
ACM
129views Database» more  VLDB 2004»
15 years 12 months ago
Detecting Change in Data Streams
Detecting changes in a data stream is an important area of research with many applications. In this paper, we present a novel method for the detection and estimation of change. In...
Daniel Kifer, Shai Ben-David, Johannes Gehrke