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» Discovering Predictive Association Rules
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CN
2007
91views more  CN 2007»
13 years 7 months ago
Improving the quality of alerts and predicting intruder's next goal with Hidden Colored Petri-Net
Intrusion detection systems (IDS) often provide poor quality alerts, which are insufficient to support rapid identification of ongoing attacks or predict an intruder’s next lik...
Dong Yu, Deborah A. Frincke
KDD
2008
ACM
156views Data Mining» more  KDD 2008»
14 years 8 months ago
Can complex network metrics predict the behavior of NBA teams?
The United States National Basketball Association (NBA) is one of the most popular sports league in the world and is well known for moving a millionary betting market that uses th...
Antonio Alfredo Ferreira Loureiro, Pedro O. S. Vaz...
PKDD
2009
Springer
118views Data Mining» more  PKDD 2009»
14 years 2 months ago
The Feature Importance Ranking Measure
Most accurate predictions are typically obtained by learning machines with complex feature spaces (as e.g. induced by kernels). Unfortunately, such decision rules are hardly access...
Alexander Zien, Nicole Krämer, Sören Son...
BCB
2010
127views Bioinformatics» more  BCB 2010»
13 years 2 months ago
A novel network model for molecular prognosis
Network-based genome-wide association studies (NWAS) utilize the molecular interactions between genes and functional pathways in biomarker identification. This study presents a no...
Ying-Wooi Wan, Swetha Bose, James Denvir, Nancy La...
KDD
2003
ACM
149views Data Mining» more  KDD 2003»
14 years 8 months ago
Knowledge-based data mining
We describe techniques for combining two types of knowledge systems: expert and machine learning. Both the expert system and the learning system represent information by logical d...
Søren Damgaard, Sholom M. Weiss, Shubir Kap...