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LISA
2007
15 years 6 months ago
NetADHICT: A Tool for Understanding Network Traffic
Computer and network administrators are often confused or uncertain about the behavior of their networks. Traditional analysis using IP ports, addresses, and protocols are insuffi...
Hajime Inoue, Dana Jansens, Abdulrahman Hijazi, An...
ML
2006
ACM
142views Machine Learning» more  ML 2006»
15 years 4 months ago
The max-min hill-climbing Bayesian network structure learning algorithm
We present a new algorithm for Bayesian network structure learning, called Max-Min Hill-Climbing (MMHC). The algorithm combines ideas from local learning, constraint-based, and sea...
Ioannis Tsamardinos, Laura E. Brown, Constantin F....
CONEXT
2010
ACM
15 years 2 months ago
Strengthening forensic investigations of child pornography on P2P networks
Measurements of the Internet for law enforcement purposes must be forensically valid. We examine the problems inherent in using various network- and applicationlevel identifiers i...
Marc Liberatore, Brian Neil Levine, Clay Shields
140
Voted
ICNS
2009
IEEE
15 years 1 months ago
Cost-Effective Burst-Over-Circuit-Switching in a Hybrid Optical Network
All optical switching has been proposed as a candidate to allow high capacity networking in the future. Currently, Optical Circuit Switching has been widely deployed, although thi...
Jens Buysse, Marc De Leenheer, Chris Develder, Bar...
PROMISE
2010
14 years 10 months ago
Defect cost flow model: a Bayesian network for predicting defect correction effort
Background. Software defect prediction has been one of the central topics of software engineering. Predicted defect counts have been used mainly to assess software quality and est...
Thomas Schulz, Lukasz Radlinski, Thomas Gorges, Wo...