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» SensorWebIDS: a web mining intrusion detection system
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WWW
2004
ACM
14 years 8 months ago
Mining models of human activities from the web
The ability to determine what day-to-day activity (such as cooking pasta, taking a pill, or watching a video) a person is performing is of interest in many application domains. A ...
Mike Perkowitz, Matthai Philipose, Kenneth P. Fish...
COLING
2010
13 years 2 months ago
An ontology-driven system for detecting global health events
Text mining for global health surveillance is an emerging technology that is gaining increased attention from public health organisations and governments. The lack of multilingual...
Nigel Collier, Reiko Matsuda Goodwin, John McCrae,...
WWW
2006
ACM
14 years 8 months ago
POLYPHONET: an advanced social network extraction system from the web
Social networks play important roles in the Semantic Web: knowledge management, information retrieval, ubiquitous computing, and so on. We propose a social network extraction syst...
Hideaki Takeda, Junichiro Mori, Kôiti Hasida...
KDD
2002
ACM
157views Data Mining» more  KDD 2002»
14 years 8 months ago
Learning nonstationary models of normal network traffic for detecting novel attacks
Traditional intrusion detection systems (IDS) detect attacks by comparing current behavior to signatures of known attacks. One main drawback is the inability of detecting new atta...
Matthew V. Mahoney, Philip K. Chan
WSDM
2010
ACM
215views Data Mining» more  WSDM 2010»
14 years 5 months ago
Boilerplate Detection using Shallow Text Features
In addition to the actual content Web pages consist of navigational elements, templates, and advertisements. This boilerplate text typically is not related to the main content, ma...
Christian Kohlschütter, Peter Fankhauser, Wol...