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ICML
1996
IEEE
14 years 8 months ago
Discretizing Continuous Attributes While Learning Bayesian Networks
We introduce a method for learning Bayesian networks that handles the discretization of continuous variables as an integral part of the learning process. The main ingredient in th...
Moisés Goldszmidt, Nir Friedman
INFOVIS
2002
IEEE
14 years 13 days ago
Multiple Foci Drill-Down through Tuple and Attribute Aggregation Polyarchies in Tabular Data
Information analysis often involves decomposing data into sub-groups to allow for comparison and identification of relationships. Breakdown Visualization provides a mechanism to s...
Nathan Conklin, Sandeep Prabhakar, Chris North
ICIP
2005
IEEE
14 years 9 months ago
Learning hidden semantic cues using support vector clustering
This paper presents a method to infer hidden semantic cues by accumulating the knowledge learned from relevance feedback sessions. We propose to explicitly represent a semantic sp...
Jia-Wen Tung, Chiou-Ting Hsu
VIS
2007
IEEE
107views Visualization» more  VIS 2007»
14 years 8 months ago
Semantic Layers for Illustrative Volume Rendering
Direct volume rendering techniques map volumetric attributes (e.g., density, gradient magnitude, etc.) to visual styles. Commonly this mapping is specified by a transfer function. ...
Peter Rautek, Stefan Bruckner, M. Eduard Grölle...
KDD
1998
ACM
94views Data Mining» more  KDD 1998»
13 years 11 months ago
Independence Diagrams: A Technique for Visual Data Mining
An important issue in data mining is the recognition of complex dependencies between attributes. Past techniques for identifying attribute dependence include correlation coefficie...
Stefan Berchtold, H. V. Jagadish, Kenneth A. Ross