73 search results - page 9 / 15 » An Unsupervised Clustering Algorithm for Intrusion Detection |
ICMLA
2004
13 years 9 months ago
2004
Detecting outliers is an important topic in data mining. Sometimes the outliers are more interesting than the rest of the data. Outlier identification has lots of applications, su...
ISMIS
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. We present an overview of anomaly detection used in computer security, and provide a detailed example of a host-based Intrusion Detection System that monitors file syste...
ICPR
2006
IEEE
14 years 8 months ago
2006
IEEE
This work presents an automatic technique for detection of abnormal events in crowds. Crowd behaviour is difficult to predict and might not be easily semantically translated. More...
WWW
2010
ACM
14 years 2 months ago
2010
ACM
Extracting semantic relations among entities is an important first step in various tasks in Web mining and natural language processing such as information extraction, relation de...
ECML
2005
Springer
13 years 9 months ago
2005
Springer
Although very widely used in unsupervised data mining, most clustering methods are affected by the instability of the resulting clusters w.r.t. the initialization of the algorithm ...