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{{Definition|'''Temporal data''' refers to data, where changes over time or temporal aspects play a central role or are of interest.}} {{Quotation|Temporal data is data that varies over time.|[Jensen and Snodgrass, 1999]}} ...

[http://labescape.com Lab Escape] has integrated time-series graphs into their [[Treemap]] application [http://labescape.com/products/tr ...x|none|Demo of ''Enterprise Tree Map 2.0'' showing stock market data. Time-series graphs of individual stocks are integrated into the Treemap<br>[Lab Escape, ...

...linked-view application that integrates a 3D layout of stores with retail data sources. ...of human decisions are spatialbased and it’s a familiar metaphor to access data.| [M. Jern, 2007]}} ...

Many interesting problems today involve working with large, relational data sets. AT&T Labs (formerly part of Bell Labs) works in one of the world's la ...lization, applied algorithms, network analysis, computational geometry and data mining, especially methods to combine human interaction with machine learni ...

*Wednesday, March 29, 2006 - 11:00 am, Eastern Standard Time (GMT -05:00, New York) *Wednesday, March 29, 2006 - 6:00 pm, Europe Daylight Time (GMT +02:00, Paris) ...

**Time Series #Chi's Data-state ref ...

- visual and algorithmic analysis of movement and event data – different types of spatiotemporal data (movement data, events, spatial time series), which will be ...

...ent processes in cross-sectional data sets and discovering patterns in the data.| [Tekusova and Kohlhammer, 2007]}} ...ice versa. {{Quotation|The relationship between volatility and return over time is at the centre of the investors' atteintion.| [Tekusova and Kohlhammer, 2 ...

*[http://keshif.me/demo/VisTools Data-Visualization Tools & Books (Keshif)]: Very comprehensive interactive brows ...om Space-Time Cube Vis: A Review of Temporal Visualizations based on Space-Time Cube Operations] ...

===AREA 1: ABSTRACT DATA VISUALIZATION=== *Visual Data Analysis and Knowledge Discovery ...

data sets, and new tools comfortably handle hundreds of thousands large sets of statistical time series, space-filling diagrams of ...

...cilitate sense-making for interactive visual exploration of billion record data sets are ...esigned to deal with multi-dimensional and more importantly multi-variate data. ...

...at.stanford.edu/~tibs/ElemStatLearn/ The Elements of Statistical Learning: Data Mining, Inference, and Prediction] Free e-book by Trevor Hastie, Robert Tib ...statistik.tuwien.ac.at/StatDA/R-scripts/ Examples of the book "Statistical Data Analysis Explained"] by Clemens Reimann, Peter Filzmoser, Robert Garrett, R ...

...h can consist of hundreds of process components (e.g., process activities, data flows, and resources) and thousands of running process instances in differe ...plicability of different approaches, collaboration, process evolution, run-time requirements of process instances and applications, etc. ...

...plicability of different approaches, collaboration, process evolution, run-time requirements of process instances and applications, etc. * Visualization of Dynamic Data in Processes ...

...plicability of different approaches, collaboration, process evolution, run-time requirements of process instances and applications, etc. * Visualization of Dynamic Data in Processes ...

...uality, downloadable statistical information and data sets. Emphasis is on data pertaining to the social sciences, health, developing countries, energy, na *[https://developers.google.com/search/docs/data-types/dataset Google Dataset Search] ...

...possibilities that these technologies can bring to visual and interactive data exploration and analysis. There are a variety of new technologies available * Data visualization on mobile devices ...

*any other non-spatial data or spatial data that is visualized with a new spatial mapping Data focused visualization research ...

== IDAMAP 2010: Intelligent Data Analysis in bioMedicine And Pharmacology == Organized in collaboration with the Intelligent Data Analysis and Data ...