Circle graphs: New visualization tools for text-mining

Yonatan Aumann; Ronen Feldman; Yaron Ben Yehuda; David Landau; Orly Liphstat; Yonatan Schler

doi:10.1007/978-3-540-48247-5_30

Circle graphs: New visualization tools for text-mining

Yonatan Aumann, Ronen Feldman, Yaron Ben Yehuda, David Landau, Orly Liphstat, Yonatan Schler

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

12 Scopus citations

Abstract

The proliferation of digitally available textual data necessitates automatic tools for analyzing large textual collections. Thus, in analogy to data mining for structured databases, text mining is defined for textual collections. A central tool in text-mining is the analysis of concept relationship, which discovers connections between different concepts, as reflected in the collection. However, discovering these relationships is not sufficient, as they also have to be presented to the user in a meaningful and manageable way. In this paper we introduce a new family of visualization tools, which we coin circle graphs, which provide means for visualizing concept relationships mined from large collections. Circle graphs allow for instant appreciation of multiple relationships gathered from the entire collection. A special type of circle-graphs, called Trend Graphs, allows tracking of the evolution of relationships over time.

Original language	English
Title of host publication	Principles of Data Mining and Knowledge Discovery - 3d European Conference, PKDD 1999, Proceedings
Editors	Jan M. Żytkow, Jan Rauch
Publisher	Springer Verlag
Pages	277-282
Number of pages	6
ISBN (Print)	3540664904, 9783540664901
DOIs	https://doi.org/10.1007/978-3-540-48247-5_30
State	Published - 1999
Externally published	Yes
Event	3rd European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 1999 - Prague, Czech Republic Duration: 15 Sep 1999 → 18 Sep 1999

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	1704
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	3rd European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 1999
Country/Territory	Czech Republic
City	Prague
Period	15/09/99 → 18/09/99

Bibliographical note

Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 1999.

Access to Document

10.1007/978-3-540-48247-5_30

Cite this

Aumann, Y., Feldman, R., Yehuda, Y. B., Landau, D., Liphstat, O., & Schler, Y. (1999). Circle graphs: New visualization tools for text-mining. In J. M. Żytkow, & J. Rauch (Eds.), Principles of Data Mining and Knowledge Discovery - 3d European Conference, PKDD 1999, Proceedings (pp. 277-282). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1704). Springer Verlag. https://doi.org/10.1007/978-3-540-48247-5_30

Aumann, Yonatan ; Feldman, Ronen ; Yehuda, Yaron Ben et al. / Circle graphs : New visualization tools for text-mining. Principles of Data Mining and Knowledge Discovery - 3d European Conference, PKDD 1999, Proceedings. editor / Jan M. Żytkow ; Jan Rauch. Springer Verlag, 1999. pp. 277-282 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Aumann, Y, Feldman, R, Yehuda, YB, Landau, D, Liphstat, O & Schler, Y 1999, Circle graphs: New visualization tools for text-mining. in JM Żytkow & J Rauch (eds), Principles of Data Mining and Knowledge Discovery - 3d European Conference, PKDD 1999, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1704, Springer Verlag, pp. 277-282, 3rd European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 1999, Prague, Czech Republic, 15/09/99. https://doi.org/10.1007/978-3-540-48247-5_30

Circle graphs: New visualization tools for text-mining. / Aumann, Yonatan; Feldman, Ronen; Yehuda, Yaron Ben et al.
Principles of Data Mining and Knowledge Discovery - 3d European Conference, PKDD 1999, Proceedings. ed. / Jan M. Żytkow; Jan Rauch. Springer Verlag, 1999. p. 277-282 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1704).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - The proliferation of digitally available textual data necessitates automatic tools for analyzing large textual collections. Thus, in analogy to data mining for structured databases, text mining is defined for textual collections. A central tool in text-mining is the analysis of concept relationship, which discovers connections between different concepts, as reflected in the collection. However, discovering these relationships is not sufficient, as they also have to be presented to the user in a meaningful and manageable way. In this paper we introduce a new family of visualization tools, which we coin circle graphs, which provide means for visualizing concept relationships mined from large collections. Circle graphs allow for instant appreciation of multiple relationships gathered from the entire collection. A special type of circle-graphs, called Trend Graphs, allows tracking of the evolution of relationships over time.

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Aumann Y, Feldman R, Yehuda YB, Landau D, Liphstat O, Schler Y. Circle graphs: New visualization tools for text-mining. In Żytkow JM, Rauch J, editors, Principles of Data Mining and Knowledge Discovery - 3d European Conference, PKDD 1999, Proceedings. Springer Verlag. 1999. p. 277-282. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-48247-5_30

Circle graphs: New visualization tools for text-mining

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