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175
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KDD
2004
ACM
124views Data Mining» more  KDD 2004»
16 years 6 days ago
Incorporating prior knowledge with weighted margin support vector machines
Like many purely data-driven machine learning methods, Support Vector Machine (SVM) classifiers are learned exclusively from the evidence presented in the training dataset; thus ...
Xiaoyun Wu, Rohini K. Srihari
PAKDD
2004
ACM
83views Data Mining» more  PAKDD 2004»
16 years 6 days ago
Providing Diversity in K-Nearest Neighbor Query Results
Abstract. Given a point query Q in multi-dimensional space, K-Nearest Neighbor (KNN) queries return the K closest answers in the database with respect to Q. In this scenario, it is...
Anoop Jain, Parag Sarda, Jayant R. Haritsa
PAKDD
2004
ACM
97views Data Mining» more  PAKDD 2004»
16 years 6 days ago
Further Applications of a Particle Visualization Framework
Our previous work introduced a 3D particle visualization framework that viewed each data point as being a particle affected by gravitational forces. We showed the use of this tool ...
Ke Yin, Ian Davidson
206
Voted
ICDM
2003
IEEE
158views Data Mining» more  ICDM 2003»
16 years 4 days ago
Identifying Markov Blankets with Decision Tree Induction
The Markov Blanket of a target variable is the minimum conditioning set of variables that makes the target independent of all other variables. Markov Blankets inform feature selec...
Lewis Frey, Douglas H. Fisher, Ioannis Tsamardinos...
ICDM
2003
IEEE
170views Data Mining» more  ICDM 2003»
16 years 4 days ago
Algorithms for Spatial Outlier Detection
A spatial outlier is a spatially referenced object whose non-spatial attribute values are significantly different from the values of its neighborhood. Identification of spatial ...
Chang-Tien Lu, Dechang Chen, Yufeng Kou
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