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Title:
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VISUAL OLAP: A NEW PARADIGM FOR EXPLORING MULTIDIMENSIONAL AGGREGATES |
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Author(s):
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Svetlana Mansmann , Marc H. Scholl |
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ISBN:
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978-972-8924-63-8 |
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Editors:
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Yingcai Xiao and Eleonore ten Thij |
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Year:
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2008 |
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Edition:
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Single |
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Keywords:
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Visual OLAP, Information Visualization |
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Type:
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Full Paper |
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First Page:
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59 |
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Last Page:
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66 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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OLAP (On-Line Analytical Processing) technology provides interactive query-driven analysis of accumulated and consolidated
business data for the purpose of decision-making and knowledge extraction. Visualization is increasingly used
as the means of gaining insight into huge data volumes of multidimensional data as the former exploits the profound ability
of the human vision system to recognize patterns. This paper describes a new generation of analysis tools, characterized
as Visual OLAP and based on the emerging visual exploration paradigm. In contrast to conventional tools that employ
visualization primarily as user-friendly data presentation, visual OLAP turns visualization into the key method for
both query specification and exploratory analysis. We propose a comprehensive visual exploration framework, which
implements OLAP operations in form of powerful data navigation and allows users to explore data using a variety of
interactive visualization techniques. A taxonomy of visual metaphors, from classical business charts to advanced 3D,
multiscale, and hierarchical layouts accounts for different types of analytical tasks. A unified framework is obtained by
abstracting various visualization options into a common presentation model and providing algorithms for mapping user
interactions to database queries as well as mapping query results to a specified visual layout. |
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