Analysis and Interpretation of Visual Hierarchical Heavy Hi...

Analysis and Interpretation of Visual Hierarchical Heavy Hitters of Binary Relations

inproceedings
Arturas Mazeika, Michael Böhlen, Daniel Trivellato
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.
Analysis and Interpretation of Visual Hierarchical Heavy Hitters of Binary Relations
2008
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
168-183
http://dx.doi.org/10.1007/978-3-540-85713-6_13
DBLP:conf/adbis/2008
DBLP, http://dblp.uni-trier.de
dbtg