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Displaying 1-8 out of 8 total
Representative Factor Generation for the Interactive Visual Analysis of High-Dimensional Data
Found in: IEEE Transactions on Visualization and Computer Graphics
By Cagatay Turkay,Arvid Lundervold,Astri Johansen Lundervold,Helwig Hauser
Issue Date:December 2012
pp. 2621-2630
Datasets with a large number of dimensions per data item (hundreds or more) are challenging both for computational and visual analysis. Moreover, these dimensions have different characteristics and relations that result in sub-groups and/or hierarchies ove...
 
Brushing Dimensions—A Dual Visual Analysis Model for High-Dimensional Data
Found in: IEEE Transactions on Visualization and Computer Graphics
By Cagatay Turkay,Peter Filzmoser,Helwig Hauser
Issue Date:December 2011
pp. 2591-2599
In many application fields, data analysts have to deal with datasets that contain many expressions per item. The effective analysis of such multivariate datasets is dependent on the user's ability to understand both the intrinsic dimensionality of the data...
 
Attribute Signatures: Dynamic Visual Summaries for Analyzing Multivariate Geographical Data
Found in: IEEE Transactions on Visualization and Computer Graphics
By Cagatay Turkay,Aidan Slingsby,Helwig Hauser,Jo Wood,Jason Dykes
Issue Date:February 2015
pp. 1
The visual analysis of geographically referenced datasets with a large number of attributes is challenging due to the fact that the characteristics of the attributes are highly dependent upon the locations at which they are focussed, and the scale and time...
 
Perceptually Uniform Motion Space
Found in: IEEE Transactions on Visualization and Computer Graphics
By Asmund Birkeland,Cagatay Turkay,Ivan Viola
Issue Date:November 2014
pp. 1-1
Flow data is often visualized by animated particles inserted into a flow field. The velocity of a particle on the screen is typically linearly scaled by the velocities in the data. However, the perception of velocity magnitude in animated particles is not ...
   
Interactive Visual Analysis of Heterogeneous Cohort-Study Data
Found in: IEEE Computer Graphics and Applications
By Paolo Angelelli,Steffen Oeltze,Judit Haasz,Cagatay Turkay,Erlend Hodneland,Arvid Lundervold,Astri J. Lundervold,Bernhard Preim,Helwig Hauser
Issue Date:September 2014
pp. 70-82
Medical cohort studies enable the study of medical hypotheses with many samples. Often, these studies acquire a large amount of heterogeneous data from many subjects. Usually, researchers study a specific data subset to confirm or reject specific hypothese...
 
Temporal Dynamics of User Interests in Web Search Queries
Found in: Advanced Information Networking and Applications Workshops, International Conference on
By Aysegul Cayci, Selcuk Sumengen, Cagatay Turkay, Selim Balcisoy, Yucel Saygin
Issue Date:May 2009
pp. 762-767
Web search query logs contain valuable information which can be utilized for personalization and improvement of search engine performance. The aim in this paper is to cluster users based on their interests, and analyze the temporal dynamics of these cluste...
 
Characterizing Cancer Subtypes Using Dual Analysis in Caleydo StratomeX
Found in: IEEE Computer Graphics and Applications
By Cagatay Turkay,Alexander Lex,Marc Streit,Hanspeter Pfister,Helwig Hauser
Issue Date:March 2014
pp. 38-47
Dual analysis uses statistics to describe both the dimensions and rows of a high-dimensional dataset. Researchers have integrated it into StratomeX, a Caleydo view for cancer subtype analysis. In addition, significant-difference plots show the elements of ...
 
Dual analysis of DNA microarrays
Found in: Proceedings of the 12th International Conference on Knowledge Management and Knowledge Technologies (i-KNOW '12)
By Cagatay Turkay, Helwig Hauser, Julius Parulek
Issue Date:September 2012
pp. 1-8
Microarray data represents the expression levels of genes for different samples and for different conditions. It has been a central topic in bioinformatics research for a long time already. Researchers try to discover groups of genes that are responsible f...
     
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