Visual Analytics. Seminar. [Guo, 2006] [Wong, 2006] [Keim, 2006] [Proulx, 2006] [Chang, 2007] [Kosara, 2006]

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1 Seminar Visual Analytics [Guo, 2006] [Keim, 2006] [Wong, 2006] [Proulx, 2006] [Chang, 2007] [Kosara, 2006]

2 Visual Analytics - Definitions Visual analytics is the science of analytical reasoning facilitated by interactive visual interfaces. [Thomas and Cook, 2006] Visual analytics is more than just visualization and can rather be seen as an integrated approach combining visualization, human factors and data analysis. [Keim, 2005] Ziel ist es [ ], die Leistungsfähigkeiten moderner Computer und Algorithmen mit den enormen Leistungsfähigkeiten des menschlichen visuellen Systems zu verbinden, um eine umfassende Analyse komplexer Datenmengen zu unterstützen, unbekannte in den Daten verborgene Muster aufzudecken und Trends abzuleiten. [Schumann, 2007]

3 Visual Analytics vs. Visual Data Mining Während z.b. beim visuellen Data Mining Methoden des Data Mining aus der Statistik oder dem Knowledge Discovery mit Methoden aus der Informationsvisualisierung verbunden werden, gibt es bei Visual Analytics konzeptionell nicht diese Einschränkung auf bestimmte Verfahrens- und Datenklassen. Zu Visual Analytics gehören beispielsweise auch Methoden des visuellen Graph Mining oder des Image Mining zur automatischen und visuellen Auswertung von Netzwerken und Bilddaten. [Schumann, 2007]

4 Visual Analytics - Applications Analysis of large heterogeneous data masses: Climate protection Health care management Energy supply Catastrophe management Institut für SimulationundGraphik

5 Visual Analytics Multiple Disciplines People use visual analytics tools and techniques to synthesize information and derive insight from massive, dynamic, ambiguous, and often conflicting data; detect the expected and discover the unexpected; provide timely, defensible, and understandable assessments; and communicate assessment effectively for action. [Thomas and Cook, 2005,2006] [Thomas, 2005] [Keim, 2006]

6 Information Visualization vs. Visual Analytics Visual Information-Seeking Mantra [Shneiderman,1996] Overview first, zoom and filter, then details-on-demand. Visual Analytics Mantra [Keim, 2005] Analyse First - Show the Important - Zoom, Filter and Analyse Further - Details on Demand

7 Visual Analytics - Foundation Research and Development (R&D) Agenda for Visual Analytics Visual Analytics Scope and Concepts Challenges Definition of directions and priorities for future R&D programs focused on suppression of terrorism [Thomas & Cook, 2005]

8 Visual Analytics Information Vis. Visual Analytics Visual Data Mining Visualization

9 Topics

10 Combining Clustering and Visualization Clustering: organization of objects into groups whose members are similar in some way ClusterSculptor [Nam,2007] Hierarchical Clustering for the Exploration of Multidimensional Data [Seo,2005]

11 Visual Analysis of Medical and Human Health Data Animal-human Health Monitoring [Maciejewski,2007] Visual Analysis of Epidemiology Data (H5N1) [Proulx,2006]

12 Visual Analysis of Biological Data Visual Analysis of Confocal Microscopy Data [deleeuw, 2006] Analysis of Active Interactive Genetic Algorithms [Llora, 2006]

13 Visual Analysis of Social Data Understanding Social Dynamics in Wikipedia [Suh,2007] Entity Resolution in Social Networks [Bilgic,2006]

14 Visual Analysis of Geospatial Data VDM of Large Geospatial Point Sets [Keim,2004] Visual Analytics of Paleoceanographic Conditions [Theron,2006]

15 Visual Analysis of Graph & Network Data Visual Analysis of Large Semantic Graphs [Wong, 2006] SpiralView: Security Policies Assessment [Bertini, 2007]

16 Visual Analysis of Financial Data Visual Analysis of Stock Market Data [Nesbitt,2004] Visual Analysis of Categorical Data from Financial Transactions [Chang,2007]

17 Visual Analysis of Text & Document Data Phylogenetic Trees for Analysis of Document Collections [Cuadros,2007] Exploring Erotics in Emily Dickinson's Correspondence [Plaisant,2006]

18 Visual Analysis of Time-Dependent Data Visual Analysis of Families of Function Graphs [Konyha,2006] Visual Analysis of Simulation Results from a Diesel Exhaust System [Doleisch,2004]

19 Evaluation in Visual Analytics Provides information about the use of analysis components, visual representations, interaction mechanisms and the process of insight generation Long-term Usage Evaluation of Visual Analytics Tools [Saraiya,2006] Evaluation of the Hierarchical Clustering acc. to [Seo,2005] in a User Survey [Seo,2006]

20 Miscellaneous Topics Visual Analysis of Historic Hotel Visitation Patterns [Weaver,2006] Visual Analysis of Multivariate Data with Variable Quality [Xie,2006]

21 Questions?

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