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Analysis and Interpretation of Visual Hierarchical Heavy Hitters of Binary Relations


Mazeika, Arturas; Böhlen, Michael Hanspeter; Trivellato, Daniel (2008). Analysis and Interpretation of Visual Hierarchical Heavy Hitters of Binary Relations. In: ADBIS 2008: Analysis and Interpretation of Visual HHHs of Binary Relations; Lecture Notes in Computer Science Volume 5207/2008 page 168-183; ISBN 978-3-540-85712-9, Pori, Finland, 5 September 2008 - 9 September 2008, 168-183.

Abstract

The emerging field of visual analytics changes the way we model, gather, and analyze data. Current data analysis approaches suggest to gather as much data as possible and then focus on goal and process oriented data analysis techniques. Visual analytics changes this approach and the methodology to interpret the results becomes the key issue. This paper contributes with a method to interpret visual hierarchical heavy hitters (VHHHs). We show how to analyze data on the general level and how to examine specific areas of the data. We identify five common patterns that build the interpretation alphabet of VHHHs. We demonstrate our method on three different real world datasets and show the effectiveness of our approach.

Abstract

The emerging field of visual analytics changes the way we model, gather, and analyze data. Current data analysis approaches suggest to gather as much data as possible and then focus on goal and process oriented data analysis techniques. Visual analytics changes this approach and the methodology to interpret the results becomes the key issue. This paper contributes with a method to interpret visual hierarchical heavy hitters (VHHHs). We show how to analyze data on the general level and how to examine specific areas of the data. We identify five common patterns that build the interpretation alphabet of VHHHs. We demonstrate our method on three different real world datasets and show the effectiveness of our approach.

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Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Event End Date:9 September 2008
Deposited On:30 May 2012 14:27
Last Modified:12 Aug 2017 15:49
Publisher:Springer
Series Name:Lecture Notes in Computer Science
Number:5207/2008
ISBN:978-3-540-85712-9
Publisher DOI:https://doi.org/10.1007/978-3-540-85713-6_13
Other Identification Number:merlin-id:2311

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