226 search results - page 31 / 46 » Application of Data Mining to Network Intrusion Detection: C... |
EWSN
2008
Springer
14 years 7 months ago
2008
Springer
In this paper3 , we use Bayesian Networks as a means for unsupervised learning and anomaly (event) detection in gas monitoring sensor networks for underground coal mines. We show t...
DPD
2002
13 years 7 months ago
2002
Data mining is a new, important and fast growing database application. Outlier (exception) detection is one kind of data mining, which can be applied in a variety of areas like mon...
KDD
2009
ACM
14 years 2 months ago
2009
ACM
To discover patterns in historical data, climate scientists have applied various clustering methods with the goal of identifying regions that share some common climatological beha...
ICDM
2009
IEEE
14 years 2 months ago
2009
IEEE
This paper offers a local distributed algorithm for expectation maximization in large peer-to-peer environments. The algorithm can be used for a variety of well-known data mining...
CIKM
2010
Springer
13 years 5 months ago
2010
Springer
In the standard formalization of supervised learning problems, a datum is represented as a vector of features without prior knowledge about relationships among features. However, ...