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» Data Mining for Intrusion Detection: Techniques, Application...
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123
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KDD
2009
ACM
219views Data Mining» more  KDD 2009»
16 years 1 months ago
Structured correspondence topic models for mining captioned figures in biological literature
A major source of information (often the most crucial and informative part) in scholarly articles from scientific journals, proceedings and books are the figures that directly pro...
Amr Ahmed, Eric P. Xing, William W. Cohen, Robert ...
KDD
2010
ACM
323views Data Mining» more  KDD 2010»
15 years 2 months ago
TIARA: a visual exploratory text analytic system
In this paper, we present a novel exploratory visual analytic system called TIARA (Text Insight via Automated Responsive Analytics), which combines text analytics and interactive ...
Furu Wei, Shixia Liu, Yangqiu Song, Shimei Pan, Mi...
132
Voted
KES
2007
Springer
15 years 17 days ago
KeyGraph-based chance discovery for mobile contents management system
Chance discovery provides a way to find rare but very important events for future decision making. It can be applied to stock market prediction, earthquake alarm, intrusion detect...
Kyung-Joong Kim, Myung-Chul Jung, Sung-Bae Cho
SAINT
2003
IEEE
15 years 6 months ago
Extracting Spatial Knowledge from the Web
The content of the world-wide web is pervaded by information of a geographical or spatial nature, particularly such location information as addresses, postal codes, and telephone ...
Yasuhiko Morimoto, Masaki Aono, Michael E. Houle, ...
EWSN
2008
Springer
16 years 8 days 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...