Arturas Mazeika, Michael H. Böhlen, Peer Mylov. Using Nested Surfaces for Visual Detection of Structures in Databases. In Simeon J. Simoff, Michael H. Böhlen, Arturas Mazeika, editors, Visual Data Mining - Theory, Techniques and Tools for Visual Analytics. Volume 4404 of Lecture Notes in Computer Science, pages 91-102, Springer, 2008. [doi]
@incollection{MazeikaBM08,
title = {Using Nested Surfaces for Visual Detection of Structures in Databases},
author = {Arturas Mazeika and Michael H. Böhlen and Peer Mylov},
year = {2008},
doi = {10.1007/978-3-540-71080-6_7},
url = {http://dx.doi.org/10.1007/978-3-540-71080-6_7},
tags = {source-to-source, peer-to-peer},
researchr = {https://researchr.org/publication/MazeikaBM08},
cites = {0},
citedby = {0},
pages = {91-102},
booktitle = {Visual Data Mining - Theory, Techniques and Tools for Visual Analytics},
editor = {Simeon J. Simoff and Michael H. Böhlen and Arturas Mazeika},
volume = {4404},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-540-71079-0},
}