Interactive data mining with 3D-parallel-coordinate-trees

Elke Achtert, Hans Peter Kriegel, Erich Schubert, Arthur Zimek

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

Parallel coordinates are an established technique to visualize high-dimensional data, in particular for data mining purposes. A major challenge is the ordering of axes, as any axis can have at most two neighbors when placed in parallel on a 2D plane. By extending this concept to a 3D visualization space we can place several axes next to each other. However, finding a good arrangement often does not necessarily become easier, as still not all axes can be arranged pairwise adjacently to each other. Here, we provide a tool to explore complex data sets using 3D-parallel-coordinate-trees, along with a number of approaches to arrange the axes.

Original languageEnglish
Title of host publicationProceedings of the 2013 ACM SIGMOD International Conference on Management of Data
PublisherAssociation for Computing Machinery
Publication date29. Jul 2013
Pages1009-1012
ISBN (Print)978-1-4503-2037-5
DOIs
Publication statusPublished - 29. Jul 2013
Externally publishedYes
Event2013 ACM SIGMOD Conference on Management of Data - New York, United States
Duration: 22. Jun 201327. Jun 2013

Conference

Conference2013 ACM SIGMOD Conference on Management of Data
CountryUnited States
CityNew York
Period22/06/201327/06/2013
SponsorACM SIGMOD

Fingerprint

Data mining
Visualization

Keywords

  • High-Dimensional Data
  • Parallel Coordinates
  • Visualization

Cite this

Achtert, E., Kriegel, H. P., Schubert, E., & Zimek, A. (2013). Interactive data mining with 3D-parallel-coordinate-trees. In Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data (pp. 1009-1012). Association for Computing Machinery. https://doi.org/10.1145/2463676.2463696
Achtert, Elke ; Kriegel, Hans Peter ; Schubert, Erich ; Zimek, Arthur. / Interactive data mining with 3D-parallel-coordinate-trees. Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data. Association for Computing Machinery, 2013. pp. 1009-1012
@inproceedings{da383fb1243a46748e43927ce5c4cf3d,
title = "Interactive data mining with 3D-parallel-coordinate-trees",
abstract = "Parallel coordinates are an established technique to visualize high-dimensional data, in particular for data mining purposes. A major challenge is the ordering of axes, as any axis can have at most two neighbors when placed in parallel on a 2D plane. By extending this concept to a 3D visualization space we can place several axes next to each other. However, finding a good arrangement often does not necessarily become easier, as still not all axes can be arranged pairwise adjacently to each other. Here, we provide a tool to explore complex data sets using 3D-parallel-coordinate-trees, along with a number of approaches to arrange the axes.",
keywords = "High-Dimensional Data, Parallel Coordinates, Visualization",
author = "Elke Achtert and Kriegel, {Hans Peter} and Erich Schubert and Arthur Zimek",
year = "2013",
month = "7",
day = "29",
doi = "10.1145/2463676.2463696",
language = "English",
isbn = "978-1-4503-2037-5",
pages = "1009--1012",
booktitle = "Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data",
publisher = "Association for Computing Machinery",
address = "United States",

}

Achtert, E, Kriegel, HP, Schubert, E & Zimek, A 2013, Interactive data mining with 3D-parallel-coordinate-trees. in Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data. Association for Computing Machinery, pp. 1009-1012, 2013 ACM SIGMOD Conference on Management of Data, New York, United States, 22/06/2013. https://doi.org/10.1145/2463676.2463696

Interactive data mining with 3D-parallel-coordinate-trees. / Achtert, Elke; Kriegel, Hans Peter; Schubert, Erich; Zimek, Arthur.

Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data. Association for Computing Machinery, 2013. p. 1009-1012.

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

TY - GEN

T1 - Interactive data mining with 3D-parallel-coordinate-trees

AU - Achtert, Elke

AU - Kriegel, Hans Peter

AU - Schubert, Erich

AU - Zimek, Arthur

PY - 2013/7/29

Y1 - 2013/7/29

N2 - Parallel coordinates are an established technique to visualize high-dimensional data, in particular for data mining purposes. A major challenge is the ordering of axes, as any axis can have at most two neighbors when placed in parallel on a 2D plane. By extending this concept to a 3D visualization space we can place several axes next to each other. However, finding a good arrangement often does not necessarily become easier, as still not all axes can be arranged pairwise adjacently to each other. Here, we provide a tool to explore complex data sets using 3D-parallel-coordinate-trees, along with a number of approaches to arrange the axes.

AB - Parallel coordinates are an established technique to visualize high-dimensional data, in particular for data mining purposes. A major challenge is the ordering of axes, as any axis can have at most two neighbors when placed in parallel on a 2D plane. By extending this concept to a 3D visualization space we can place several axes next to each other. However, finding a good arrangement often does not necessarily become easier, as still not all axes can be arranged pairwise adjacently to each other. Here, we provide a tool to explore complex data sets using 3D-parallel-coordinate-trees, along with a number of approaches to arrange the axes.

KW - High-Dimensional Data

KW - Parallel Coordinates

KW - Visualization

U2 - 10.1145/2463676.2463696

DO - 10.1145/2463676.2463696

M3 - Article in proceedings

AN - SCOPUS:84880525271

SN - 978-1-4503-2037-5

SP - 1009

EP - 1012

BT - Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data

PB - Association for Computing Machinery

ER -

Achtert E, Kriegel HP, Schubert E, Zimek A. Interactive data mining with 3D-parallel-coordinate-trees. In Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data. Association for Computing Machinery. 2013. p. 1009-1012 https://doi.org/10.1145/2463676.2463696