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» Intrusion Detection Based on Data Mining
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ICC
2007
IEEE
132views Communications» more  ICC 2007»
15 years 6 months ago
Quarter Sphere Based Distributed Anomaly Detection in Wireless Sensor Networks
—Anomaly detection is an important challenge for tasks such as fault diagnosis and intrusion detection in energy constrained wireless sensor networks. A key problem is how to min...
Sutharshan Rajasegarar, Christopher Leckie, Marimu...
ISMIS
2009
Springer
15 years 6 months ago
Novelty Detection from Evolving Complex Data Streams with Time Windows
Abstract. Novelty detection in data stream mining denotes the identification of new or unknown situations in a stream of data elements flowing continuously in at rapid rate. This...
Michelangelo Ceci, Annalisa Appice, Corrado Loglis...
IJCNN
2006
IEEE
15 years 5 months ago
Prototype based outlier detection
— Outliers refer to “minority” data that are different from most other data. They usually disturb data mining process. But, sometimes they provide valuable information. Thus,...
Seungtaek Kim, Sungzoon Cho
DMIN
2006
141views Data Mining» more  DMIN 2006»
15 years 1 months ago
Detecting Cheats In Online Student Assessments Using Data Mining
: We can find several online assessment applications, Windows oriented or Web based, licensed or gnu free software, proprietary or standardized. All of them executing basic questio...
Genadiy Burlak, Jaime Muñoz, Alberto Ochoa,...
PKDD
2009
Springer
113views Data Mining» more  PKDD 2009»
15 years 6 months ago
Feature Selection for Density Level-Sets
A frequent problem in density level-set estimation is the choice of the right features that give rise to compact and concise representations of the observed data. We present an e...
Marius Kloft, Shinichi Nakajima, Ulf Brefeld