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» Challenges in Visual Data Analysis
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128
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VIP
2001
15 years 4 months ago
Layered Earth Inversion Visual Toolkit: A Scientific Visualisation Case Study
Visualisation Systems are in general designed to maximise the cognitive ability of system users particularly when exposed to large sets of otherwise difficult to comprehend data, ...
Andrew Donohoo, Debbie Richards
113
Voted
KDD
2005
ACM
130views Data Mining» more  KDD 2005»
16 years 3 months ago
Simple and effective visual models for gene expression cancer diagnostics
In the paper we show that diagnostic classes in cancer gene expression data sets, which most often include thousands of features (genes), may be effectively separated with simple ...
Gregor Leban, Minca Mramor, Ivan Bratko, Blaz Zupa...
123
Voted
JMLR
2010
125views more  JMLR 2010»
14 years 10 months ago
Variational Relevance Vector Machine for Tabular Data
We adopt the Relevance Vector Machine (RVM) framework to handle cases of tablestructured data such as image blocks and image descriptors. This is achieved by coupling the regulari...
Dmitry Kropotov, Dmitry Vetrov, Lior Wolf, Tal Has...
130
Voted
ISCIS
2009
Springer
15 years 10 months ago
A web-based data source for metabolomics
—With the development of improved and cost-effective technologies, it is now possible to detect thousands of metabolites in biofluids or specific organs, and reliably quantify th...
Ali Cakmak, Arun Dsouza, Richard Hanson, Gultekin ...
140
Voted
KDD
2002
ACM
147views Data Mining» more  KDD 2002»
16 years 3 months ago
Visualized Classification of Multiple Sample Types
The goal of the knowledge discovery and data mining is to extract the useful knowledge from the given data. Visualization enables us to find structures, features, patterns, and re...
Li Zhang, Aidong Zhang, Murali Ramanathan