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CVPR
2008
IEEE
16 years 8 months ago
Mining compositional features for boosting
The selection of weak classifiers is critical to the success of boosting techniques. Poor weak classifiers do not perform better than random guess, thus cannot help decrease the t...
Junsong Yuan, Jiebo Luo, Ying Wu
RAID
2009
Springer
16 years 1 months ago
PE-Miner: Mining Structural Information to Detect Malicious Executables in Realtime
In this paper, we present an accurate and realtime PE-Miner framework that automatically extracts distinguishing features from portable executables (PE) to detect zero-day (i.e. pr...
M. Zubair Shafiq, S. Momina Tabish, Fauzan Mirza, ...
IMC
2010
ACM
15 years 4 months ago
What happened in my network: mining network events from router syslogs
Router syslogs are messages that a router logs to describe a wide range of events observed by it. They are considered one of the most valuable data sources for monitoring network ...
Tongqing Qiu, Zihui Ge, Dan Pei, Jia Wang, Jun Xu
ADMA
2008
Springer
122views Data Mining» more  ADMA 2008»
16 years 1 months ago
Open Domain Recommendation: Social Networks and Collaborative Filtering
Commercial enterprises employ data mining techniques to recommend products to their customers. Most of the prior research is usually focused on a specific domain such as movies or...
Sarah K. Tyler, Yi Zhang
INFOSCALE
2006
ACM
16 years 18 days ago
PENS: an algorithm for density-based clustering in peer-to-peer systems
Huge amounts of data are available in large-scale networks of autonomous data sources dispersed over a wide area. Data mining is an essential technology for obtaining hidden and v...
Mei Li, Guanling Lee, Wang-Chien Lee, Anand Sivasu...