401 search results - page 8 / 81 » Prototype based outlier detection |
PAKDD
2009
ACM
15 years 4 months ago
2009
ACM
Data mining for intrusion detection can be divided into several sub-topics, among which unsupervised clustering has controversial properties. Unsupervised clustering for intrusion...
CORR
2010
Springer
14 years 9 months ago
2010
Springer
This paper studies the outlier detection problem from the point of view of penalized regressions. Our regression model adds one mean shift parameter for each of the n data points....
KDD
2008
ACM
15 years 10 months ago
2008
ACM
Detecting outliers in a large set of data objects is a major data mining task aiming at finding different mechanisms responsible for different groups of objects in a data set. All...
101
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CCIA
2005
Springer
14 years 11 months ago
2005
Springer
Abstract. This paper presents a new feature selection method and an outliers detection algorithm. The presented method is based on using a genetic algorithm combined with a problem...
102
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IJNSEC
2008
14 years 9 months ago
2008
One of the biggest challenges facing digital investigators is the sheer volume of data that must be searched in locating the digital evidence. How to efficiently locate the eviden...