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189
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ACSC
2005
IEEE
16 years 15 days ago
Unsupervised Anomaly Detection in Network Intrusion Detection Using Clusters
Most current network intrusion detection systems employ signature-based methods or data mining-based methods which rely on labelled training data. This training data is typically ...
Kingsly Leung, Christopher Leckie
144
Voted
DAWAK
2005
Springer
16 years 12 days ago
Weighted K-Means for Density-Biased Clustering
Kittisak Kerdprasop, Nittaya Kerdprasop, Pairote S...
168
Voted
PKDD
2004
Springer
105views Data Mining» more  PKDD 2004»
16 years 6 days ago
Density-Based Spatial Clustering in the Presence of Obstacles and Facilitators
Xin Wang, Camilo Rostoker, Howard J. Hamilton