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. © 2008 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Trivellato, D., Mazeika, A., & Böhlen, M. H. (2008). Using 2D hierarchical heavy hitters to investigate binary relationships. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4404 LNCS, pp. 215–235). https://doi.org/10.1007/978-3-540-71080-6_14
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