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IV
2010
IEEE
214views Visualization» more  IV 2010»
13 years 7 months ago
The Network Lens: Interactive Exploration of Multivariate Networks Using Visual Filtering
—Networks are widely used in modeling relational data often comprised of thousands of nodes and edges. This kind of data alone implies a challenge for its visualization as it is ...
Ilir Jusufi, Yang Dingjie, Andreas Kerren
ICNC
2005
Springer
14 years 2 months ago
Applying Genetic Programming to Evolve Learned Rules for Network Anomaly Detection
The DARPA/MIT Lincoln Laboratory off-line intrusion detection evaluation data set is the most widely used public benchmark for testing intrusion detection systems. But the presence...
Chuanhuan Yin, Shengfeng Tian, Houkuan Huang, Jun ...
ISMB
1993
13 years 10 months ago
Knowledge-Based Generation of Machine-Learning Experiments: Learning with DNA Crystallography Data
Thoughit has been possible in the past to learn to predict DNAhydration patterns from crystallographic data, there is ambiguity in the choice of training data (both in terms of th...
Dawn M. Cohen, Casimir A. Kulikowski, Helen Berman
IV
1999
IEEE
115views Visualization» more  IV 1999»
14 years 1 months ago
Interaction with the Reorderable Matrix
The Reorderable Matrix is a simple visualization method for quantitative tabular data. This paper examines how first-time users interact with the Reorderable Matrix and how well t...
Harri Siirtola
ML
2000
ACM
154views Machine Learning» more  ML 2000»
13 years 8 months ago
Lazy Learning of Bayesian Rules
The naive Bayesian classifier provides a simple and effective approach to classifier learning, but its attribute independence assumption is often violated in the real world. A numb...
Zijian Zheng, Geoffrey I. Webb