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» A New Class Based Associative Classification Algorithm
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ICSOC
2003
Springer
15 years 10 months ago
Service Oriented Internet
Effective service delivery capabilities are critical to the transformation of the Internet into a viable commercial infrastructure. At the present time, the architecture of the Int...
Jaideep Chandrashekar, Zhi-Li Zhang, Zhenhai Duan,...
IMC
2005
ACM
15 years 10 months ago
Network Anomography
Anomaly detection is a first and important step needed to respond to unexpected problems and to assure high performance and security in IP networks. We introduce a framework and ...
Yin Zhang, Zihui Ge, Albert G. Greenberg, Matthew ...
KDD
2006
ACM
156views Data Mining» more  KDD 2006»
16 years 5 months ago
Detecting outliers using transduction and statistical testing
Outlier detection can uncover malicious behavior in fields like intrusion detection and fraud analysis. Although there has been a significant amount of work in outlier detection, ...
Daniel Barbará, Carlotta Domeniconi, James ...
KDD
2008
ACM
120views Data Mining» more  KDD 2008»
16 years 5 months ago
Multi-class cost-sensitive boosting with p-norm loss functions
We propose a family of novel cost-sensitive boosting methods for multi-class classification by applying the theory of gradient boosting to p-norm based cost functionals. We establ...
Aurelie C. Lozano, Naoki Abe
174
Voted
ECCV
2010
Springer
15 years 10 months ago
Maximum Margin Distance Learning for Dynamic Texture Recognition
The range space of dynamic textures spans spatiotemporal phenomena that vary along three fundamental dimensions: spatial texture, spatial texture layout, and dynamics. By describin...