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» Intrusion Detection Based on Data Mining
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EWSN
2008
Springer
15 years 11 months ago
Spatiotemporal Anomaly Detection in Gas Monitoring Sensor Networks
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...
X. Rosalind Wang, Joseph T. Lizier, Oliver Obst, M...
72
Voted
PVLDB
2008
99views more  PVLDB 2008»
14 years 11 months ago
Industry-scale duplicate detection
Duplicate detection is the process of identifying multiple representations of a same real-world object in a data source. Duplicate detection is a problem of critical importance in...
Melanie Weis, Felix Naumann, Ulrich Jehle, Jens Lu...
ICMLA
2008
15 years 1 months ago
Highly Scalable SVM Modeling with Random Granulation for Spam Sender Detection
Spam sender detection based on email subject data is a complex large-scale text mining task. The dataset consists of email subject lines and the corresponding IP address of the em...
Yuchun Tang, Yuanchen He, Sven Krasser
110
Voted
ICALP
2001
Springer
15 years 4 months ago
Hidden Pattern Statistics
Abstract. We consider the sequence comparison problem, also known as “hidden pattern” problem, where one searches for a given subsequence in a text (rather than a string unders...
Philippe Flajolet, Yves Guivarc'h, Wojciech Szpank...
RAID
2001
Springer
15 years 4 months ago
Probabilistic Alert Correlation
With the growing deployment of host and network intrusion detection systems, managing reports from these systems becomes critically important. We present a probabilistic approach t...
Alfonso Valdes, Keith Skinner