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» A Hierarchical Latent Variable Model for Data Visualization
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SAC
2003
ACM
14 years 2 months ago
Modeling and Visualizing Uncertainty in a Global Water Balance Model
Public policy makers and others wishing to understand the potential impact of our actions on the environment need a tool to simulate and visualize relevant processes. Present mode...
James R. Miller, Johannes J. Feddema, Terry A. Slo...
PERVASIVE
2009
Springer
14 years 3 months ago
Methodologies for Continuous Cellular Tower Data Analysis
This paper presents novel methodologies for the analysis of continuous cellular tower data from 215 randomly sampled subjects in a major urban city. We demonstrate the potential of...
Nathan Eagle, John A. Quinn, Aaron Clauset
VIS
2008
IEEE
204views Visualization» more  VIS 2008»
14 years 10 months ago
Surface Extraction from Multi-field Particle Volume Data Using Multi-dimensional Cluster Visualization
Data sets resulting from physical simulations typically contain a multitude of physical variables. It is, therefore, desirable that visualization methods take into account the enti...
Lars Linsen, Tran Van Long, Paul Rosenthal, Ste...
ICDM
2009
IEEE
109views Data Mining» more  ICDM 2009»
14 years 3 months ago
Knowledge Discovery from Citation Networks
—Knowledge discovery from scientific articles has received increasing attentions recently since huge repositories are made available by the development of the Internet and digit...
Zhen Guo, Zhongfei Zhang, Shenghuo Zhu, Yun Chi, Y...
JIIS
2006
113views more  JIIS 2006»
13 years 8 months ago
Spatial ordering and encoding for geographic data mining and visualization
: Geographic information (e.g., locations, networks, and nearest neighbors) are unique and different from other aspatial attributes (e.g., population, sales, or income). It is a ch...
Diansheng Guo, Mark Gahegan