Using Nested Surfaces for Visual Detection of Structures ...

Using Nested Surfaces for Visual Detection of Structures in Databases

incollection
Arturas Mazeika, Michael Böhlen, Peer Mylov
We define, compute, and evaluate nested surfaces for the purpose of visual data mining. Nested surfaces enclose the data at various density levels, and make it possible to equalize the more and less pronounced structures in the data. This facilitates the detection of multiple structures, which is important for data mining where the less obvious relationships are often the most interesting ones. The experimental results illustrate that surfaces are fairly robust with respect to the number of observations, easy to perceive, and intuitive to interpret. We give a topology-based definition of nested surfaces and establish a relationship to the density of the data. Several algorithms are given that compute surface grids and surface contours, respectively.
Using Nested Surfaces for Visual Detection of Structures in Databases
2008
Visual Data Mining: Using Nested Surfaces for Visual Detection of Structures in Databases; Lecture Notes in Computer Science Volume 4404/2008 page 91-102; ISBN 978-3-540-71079-0
91-102
http://dx.doi.org/10.1007/978-3-540-71080-6_7
DBLP:series/lncs/4404
DBLP, http://dblp.uni-trier.de
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