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SDM
2009
SIAM
161views Data Mining» more  SDM 2009»
15 years 10 months ago
Feature Weighted SVMs Using Receiver Operating Characteristics.
Support Vector Machines (SVMs) are a leading tool in classification and pattern recognition and the kernel function is one of its most important components. This function is used...
Shaoyi Zhang, M. Maruf Hossain, Md. Rafiul Hassan,...
SDM
2009
SIAM
173views Data Mining» more  SDM 2009»
15 years 10 months ago
Discretized Spatio-Temporal Scan Window.
The focus of this paper is the discovery of anomalous spatio-temporal windows. We propose a Discretized SpatioTemporal Scan Window approach to address the question of how we can t...
Aryya Gangopadhyay, Seyed H. Mohammadi, Vandana Pu...
SDM
2009
SIAM
112views Data Mining» more  SDM 2009»
15 years 10 months ago
A Re-evaluation of the Over-Searching Phenomenon in Inductive Rule Learning.
Most commonly used inductive rule learning algorithms employ a hill-climbing search, whereas local pattern discovery algorithms employ exhaustive search. In this paper, we evaluat...
Frederik Janssen, Johannes Fürnkranz
ISPASS
2009
IEEE
15 years 8 months ago
Lonestar: A suite of parallel irregular programs
Until recently, parallel programming has largely focused on the exploitation of data-parallelism in dense matrix programs. However, many important application domains, including m...
Milind Kulkarni, Martin Burtscher, Calin Cascaval,...
AUSAI
2009
Springer
15 years 8 months ago
Probabilistic Seeking Prediction in P2P VoD Systems
In P2P VoD streaming systems, user behavior modeling is critical to help optimise user experience as well as system throughput. However, it still remains a challenging task due to ...
Weiwei Wang, Tianyin Xu, Yang Gao, Sanglu Lu