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Displaying 1-7 out of 7 total
A Visual Analytics Approach to Multiscale Exploration of Environmental Time Series
Found in: IEEE Transactions on Visualization and Computer Graphics
By Mike Sips,Patrick Kothur,Andrea Unger,Hans-Christian Hege,Doris Dransch
Issue Date:December 2012
pp. 2899-2907
We present a Visual Analytics approach that addresses the detection of interesting patterns in numerical time series, specifically from environmental sciences. Crucial for the detection of interesting temporal patterns are the time scale and the starting p...
 
Visual Data Mining in Large Geospatial Point Sets
Found in: IEEE Computer Graphics and Applications
By Daniel A. Keim, Christian Panse, Mike Sips, Stephen C. North
Issue Date:September 2004
pp. 36-44
The information revolution is creating and publishing vast data sets, such as records of business transactions, environmental statistics, and census demographics. In human versus application domains, this data is collected and indexed by geospatial locatio...
 
Scalable Pixel-based Visual Interfaces: Challenges and Solutions
Found in: Information Visualisation, International Conference on
By Mike Sips, Jorn Schneidewind, Daniel A. Keim, Heidrun Schumann
Issue Date:July 2006
pp. 32-38
The information revolution is creating and publishing vast data sets, such as records of business transactions, environmental statistics and census demographics. In many application domains, this data is collected and indexed by geo-spatial location. The d...
 
RecMap: Rectangular Map Approximations
Found in: Information Visualization, IEEE Symposium on
By Roland Heilmann, Daniel A. Keim, Christian Panse, Mike Sips
Issue Date:October 2004
pp. 33-40
<p>In many application domains, data is collected and referenced by its geo-spatial location. Nowadays, different kinds of maps are used to emphasize the spatial distribution of one or more geo-spatial attributes. The nature of geo-spatial statistica...
 
PixelMaps: A New Visual Data Mining Approach for Analyzing Large Spatial Data Sets
Found in: Data Mining, IEEE International Conference on
By Daniel A. Keim, Christian Panse, Mike Sips, Stephen C. North
Issue Date:November 2003
pp. 565
PixelMaps are a new pixel-oriented visual data mining technique for large spatial datasets. They combine kernel-density-based clustering with pixel-oriented displays to emphasize clusters while avoiding overlap in locally dense point sets on maps. Because ...
 
HistoScale: An Efficient Approach for Computing Pseudo-Cartograms
Found in: Visualization Conference, IEEE
By Daniel A. Keim, Christian Panse, Matthias Schäfer, Mike Sips, Stephen C. North
Issue Date:October 2003
pp. 93
No summary available.
   
Task-at-hand interface for change detection in stock market data
Found in: Proceedings of the working conference on Advanced visual interfaces (AVI '06)
By Carmen Sanz Merino, Christian Panse, Daniel A. Keim, Mike Sips, Robert Spence
Issue Date:May 2006
pp. 420-427
Companies trading stocks need to store information on stock prices over specific time intervals, which results in very large databases. Large quantities of numerical data (thousands of records) are virtually impossible to understand quickly and require the...
     
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