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» Detecting Flaws and Intruders with Visual Data Analysis
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IV
2007
IEEE
160views Visualization» more  IV 2007»
14 years 2 months ago
Targeted Projection Pursuit for Interactive Exploration of High- Dimensional Data Sets
High-dimensional data is, by its nature, difficult to visualise. Many current techniques involve reducing the dimensionality of the data, which results in a loss of information. ...
Joe Faith
BMCBI
2010
125views more  BMCBI 2010»
13 years 8 months ago
NeatMap - non-clustering heat map alternatives in R
Background: The clustered heat map is the most popular means of visualizing genomic data. It compactly displays a large amount of data in an intuitive format that facilitates the ...
Satwik Rajaram, Yoshi Oono
JCDL
2009
ACM
162views Education» more  JCDL 2009»
14 years 3 months ago
Supporting analysis of future-related information in news archives and the web
A lot of future-related information is available in news articles or Web pages. This information can however differ to large extent and may fluctuate over time. It is therefore di...
Adam Jatowt, Kensuke Kanazawa, Satoshi Oyama, Kats...
IVS
2008
145views more  IVS 2008»
13 years 8 months ago
Towards a taxonomy of movement patterns
A review of research that has been carried out on data mining and visual analysis of movement patterns suggests that there is little agreement on the relevant types of movement pa...
Somayeh Dodge, Robert Weibel, Anna-Katharina Laute...
BMCBI
2010
115views more  BMCBI 2010»
13 years 8 months ago
CONAN: copy number variation analysis software for genome-wide association studies
Background: Genome-wide association studies (GWAS) based on single nucleotide polymorphisms (SNPs) revolutionized our perception of the genetic regulation of complex traits and di...
Lukas Forer, Sebastian Schönherr, Hansi Wei&s...