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Contribution Details

Type Conference or Workshop Paper
Scope Discipline-based scholarship
Published in Proceedings Yes
Title Analysis and Interpretation of Visual Hierarchical Heavy Hitters of Binary Relations
Organization Unit
Authors
  • Arturas Mazeika
  • Michael Hanspeter Böhlen
  • Daniel Trivellato
Presentation Type paper
Item Subtype Original Work
Refereed Yes
Status Published in final form
Language
  • English
ISBN 978-3-540-85712-9
Page Range 168 - 183
Event Title 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
Event Type conference
Event Location Pori, Finland
Event Start Date September 5 - 2008
Event End Date September 9 - 2008
Series Name Lecture Notes in Computer Science
Number 5207/2008
Publisher Springer
Abstract Text 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.
Digital Object Identifier 10.1007/978-3-540-85713-6_13
Other Identification Number merlin-id:2311
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