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» Phenomenal Data Mining: From Data to Phenomena
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KDD
2005
ACM
168views Data Mining» more  KDD 2005»
16 years 2 months ago
Nomograms for visualizing support vector machines
We propose a simple yet potentially very effective way of visualizing trained support vector machines. Nomograms are an established model visualization technique that can graphica...
Aleks Jakulin, Martin Mozina, Janez Demsar, Ivan B...
114
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KDD
2004
ACM
164views Data Mining» more  KDD 2004»
16 years 2 months ago
Cluster-based concept invention for statistical relational learning
We use clustering to derive new relations which augment database schema used in automatic generation of predictive features in statistical relational learning. Clustering improves...
Alexandrin Popescul, Lyle H. Ungar
KDD
2003
ACM
148views Data Mining» more  KDD 2003»
16 years 2 months ago
A highly-usable projected clustering algorithm for gene expression profiles
Projected clustering has become a hot research topic due to its ability to cluster high-dimensional data. However, most existing projected clustering algorithms depend on some cri...
Kevin Y. Yip, David W. Cheung, Michael K. Ng
ICDM
2009
IEEE
97views Data Mining» more  ICDM 2009»
15 years 8 months ago
Hierarchical Probabilistic Segmentation of Discrete Events
—Segmentation, the task of splitting a long sequence of discrete symbols into chunks, can provide important information about the nature of the sequence that is understandable to...
Guy Shani, Christopher Meek, Asela Gunawardana
ICDM
2009
IEEE
155views Data Mining» more  ICDM 2009»
15 years 8 months ago
Stacked Gaussian Process Learning
—Triggered by a market relevant application that involves making joint predictions of pedestrian and public transit flows in urban areas, we address the question of how to utili...
Marion Neumann, Kristian Kersting, Zhao Xu, Daniel...