Using 2D Hierarchical Heavy Hitters to Investigate Binary Relationships

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 eva...

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Bibliographic Details
Published inVisual Data Mining pp. 215 - 235
Main Authors Trivellato, Daniel, Mazeika, Arturas, Böhlen, Michael H.
Format Book Chapter
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin Heidelberg
SeriesLecture Notes in Computer Science
Subjects
Hierarchical Heavy Hitters
Lattice Structure
Ordering of Categorical Data
Visual Data Mining
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Summary: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.
ISBN:9783540710790
3540710795
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-540-71080-6_14