Analysis and interpretation of visual hierarchical heavy hitters of binary relations

A. Mazeika; M.H. Böhlen; D. Trivellato

doi:10.1007/978-3-540-85713-6_13

Analysis and interpretation of visual hierarchical heavy hitters of binary relations

A. Mazeika, M.H. Böhlen, D. Trivellato

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

1 Citation (Scopus)

Abstract

The emerging field of visual analytics changes the way we model, gather, and analyze data. Current data analysis approaches suggest to gather as much data as possible and then focus on goal and process oriented data analysis techniques. Visual analytics changes this approach and the methodology to interpret the results becomes the key issue. This paper contributes with a method to interpret visual hierarchical heavy hitters (VHHHs). We show how to analyze data on the general level and how to examine specific areas of the data. We identify five common patterns that build the interpretation alphabet of VHHHs. We demonstrate our method on three different real world datasets and show the effectiveness of our approach.

Original language	English
Title of host publication	Advances in Databases and Information Systems (12th East European Conference, ADBIS 2008, Pori, Finland, September 5-9, 2008, Proceedings)
Editors	P. Atzeni, A. Caplinskas, H. Jaakkola
Place of Publication	Berlin
Publisher	Springer
Pages	168-183
ISBN (Print)	978-3-540-85712-9
DOIs	https://doi.org/10.1007/978-3-540-85713-6_13
Publication status	Published - 2008

Publication series

Name	Lecture Notes in Computer Science
Volume	5207
ISSN (Print)	0302-9743

Access to Document

10.1007/978-3-540-85713-6_13

Cite this

Mazeika, A., Böhlen, M. H., & Trivellato, D. (2008). Analysis and interpretation of visual hierarchical heavy hitters of binary relations. In P. Atzeni, A. Caplinskas, & H. Jaakkola (Eds.), Advances in Databases and Information Systems (12th East European Conference, ADBIS 2008, Pori, Finland, September 5-9, 2008, Proceedings) (pp. 168-183). (Lecture Notes in Computer Science; Vol. 5207). Springer. https://doi.org/10.1007/978-3-540-85713-6_13

Mazeika, A. ; Böhlen, M.H. ; Trivellato, D. / Analysis and interpretation of visual hierarchical heavy hitters of binary relations. Advances in Databases and Information Systems (12th East European Conference, ADBIS 2008, Pori, Finland, September 5-9, 2008, Proceedings). editor / P. Atzeni ; A. Caplinskas ; H. Jaakkola. Berlin : Springer, 2008. pp. 168-183 (Lecture Notes in Computer Science).

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abstract = "The emerging field of visual analytics changes the way we model, gather, and analyze data. Current data analysis approaches suggest to gather as much data as possible and then focus on goal and process oriented data analysis techniques. Visual analytics changes this approach and the methodology to interpret the results becomes the key issue. This paper contributes with a method to interpret visual hierarchical heavy hitters (VHHHs). We show how to analyze data on the general level and how to examine specific areas of the data. We identify five common patterns that build the interpretation alphabet of VHHHs. We demonstrate our method on three different real world datasets and show the effectiveness of our approach.",

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Mazeika, A, Böhlen, MH & Trivellato, D 2008, Analysis and interpretation of visual hierarchical heavy hitters of binary relations. in P Atzeni, A Caplinskas & H Jaakkola (eds), Advances in Databases and Information Systems (12th East European Conference, ADBIS 2008, Pori, Finland, September 5-9, 2008, Proceedings). Lecture Notes in Computer Science, vol. 5207, Springer, Berlin, pp. 168-183. https://doi.org/10.1007/978-3-540-85713-6_13

Analysis and interpretation of visual hierarchical heavy hitters of binary relations. / Mazeika, A.; Böhlen, M.H.; Trivellato, D.

Advances in Databases and Information Systems (12th East European Conference, ADBIS 2008, Pori, Finland, September 5-9, 2008, Proceedings). ed. / P. Atzeni; A. Caplinskas; H. Jaakkola. Berlin : Springer, 2008. p. 168-183 (Lecture Notes in Computer Science; Vol. 5207).

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

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N2 - The emerging field of visual analytics changes the way we model, gather, and analyze data. Current data analysis approaches suggest to gather as much data as possible and then focus on goal and process oriented data analysis techniques. Visual analytics changes this approach and the methodology to interpret the results becomes the key issue. This paper contributes with a method to interpret visual hierarchical heavy hitters (VHHHs). We show how to analyze data on the general level and how to examine specific areas of the data. We identify five common patterns that build the interpretation alphabet of VHHHs. We demonstrate our method on three different real world datasets and show the effectiveness of our approach.

AB - The emerging field of visual analytics changes the way we model, gather, and analyze data. Current data analysis approaches suggest to gather as much data as possible and then focus on goal and process oriented data analysis techniques. Visual analytics changes this approach and the methodology to interpret the results becomes the key issue. This paper contributes with a method to interpret visual hierarchical heavy hitters (VHHHs). We show how to analyze data on the general level and how to examine specific areas of the data. We identify five common patterns that build the interpretation alphabet of VHHHs. We demonstrate our method on three different real world datasets and show the effectiveness of our approach.

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Mazeika A, Böhlen MH, Trivellato D. Analysis and interpretation of visual hierarchical heavy hitters of binary relations. In Atzeni P, Caplinskas A, Jaakkola H, editors, Advances in Databases and Information Systems (12th East European Conference, ADBIS 2008, Pori, Finland, September 5-9, 2008, Proceedings). Berlin: Springer. 2008. p. 168-183. (Lecture Notes in Computer Science). https://doi.org/10.1007/978-3-540-85713-6_13