Permanent URL to this publication: http://dx.doi.org/10.5167/uzh-56373
Trivellato, Daniel; Mazeika, Arturas; Böhlen, Michael Hanspeter (2008). Using 2D Hierarchical Heavy Hitters to Investigate Binary Relationships. In: Simoff, Simeon J.; Böhlen, Michael H.; Mazeika, Arturas. Visual Data Mining: Theory, Techniques and Tools for Visual Analytics. Berlin / Heidelberg, 215-235. ISBN 978-3-540-71079-0.
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| Accepted Version 1915Kb |
Abstract
This chapter presents VHHH: a visual data mining tool to compute and investigate hierarchical heavy hitters (HHHs) for two-dimensional data. VHHH computes the HHHs for a two-dimensional categorical dataset and a given threshold, and visualizes the HHHs in the three dimensional space. The chapter evaluates VHHH on synthetic and real world data, provides an interpretation alphabet, and identifies common visualization patterns of HHHs.
| Item Type: | Book Section, refereed, original work |
|---|---|
| Communities & Collections: | 03 Faculty of Economics > Department of Informatics |
| DDC: | 000 Computer science, knowledge & systems |
| Date: | 2008 |
| Deposited On: | 04 Jun 2012 13:21 |
| Last Modified: | 28 Nov 2012 13:36 |
| Publisher: | Springer |
| Series Name: | Lecture Notes in Computer Science |
| Number: | 4404/2008 |
| ISBN: | 978-3-540-71079-0 |
| Publisher DOI: | 10.1007/978-3-540-71080-6_14 |
| Other Identification Number: | merlin-id:2318 |
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