Quick Search:

is currently disabled due to reindexing of the ZORA database. Please use Advanced Search.
uzh logo
Browse by:
bullet
bullet
bullet
bullet

Zurich Open Repository and Archive 

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.

[img]
Preview
Accepted Version
PDF
1MB

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 11:21
Last Modified:28 Nov 2012 12:36
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
Citations:Google Scholar™
Scopus®. Citation Count: 1

Users (please log in): suggest update or correction for this item

Repository Staff Only: item control page