LaNe Plot:: A Visual Fingerprinting Technique for Sequential Data

Harith Rathish; Ginés Carreto Picón; Hans-Jörg Schulz

doi:10.2312/evp.20241087

LaNe Plot: A Visual Fingerprinting Technique for Sequential Data

Harith Rathish, Ginés Carreto Picón, Hans-Jörg Schulz

Department of Computer Science

Research output: Contribution to book/anthology/report/proceeding › Article in proceedings › Research › peer-review

Abstract

Visual summaries of sequential data are often used to identify common trends at a glance. In this poster, we propose a visualization technique to fingerprint sequential data by showing the difference between contiguous data points. For each data point in the sequence, we visualize the difference between itself and the last data point as well as the next data point. As an application, we visualized the revision histories of Wikipedia articles to demonstrate the exploratory value of this technique.

Original language	English
Title of host publication	Poster Proceedings of the 26th Eurographics Conference on Visualization
Editors	Kostiantyn Kucher, Alexandra Diehl, Christina Gillmann
Number of pages	3
Publisher	The Eurographics Association
Publication date	2024
ISBN (Electronic)	978-3-03868-258-5
DOIs	https://doi.org/10.2312/evp.20241087
Publication status	Published - 2024

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Cite this

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title = "LaNe Plot:: A Visual Fingerprinting Technique for Sequential Data",

abstract = "Visual summaries of sequential data are often used to identify common trends at a glance. In this poster, we propose a visualization technique to fingerprint sequential data by showing the difference between contiguous data points. For each data point in the sequence, we visualize the difference between itself and the last data point as well as the next data point. As an application, we visualized the revision histories of Wikipedia articles to demonstrate the exploratory value of this technique.",

author = "Harith Rathish and Pic{\'o}n, {Gin{\'e}s Carreto} and Hans-J{\"o}rg Schulz",

year = "2024",

doi = "10.2312/evp.20241087",

language = "English",

editor = "Kostiantyn Kucher and Alexandra Diehl and Christina Gillmann",

booktitle = "Poster Proceedings of the 26th Eurographics Conference on Visualization",

publisher = "The Eurographics Association",

}

LaNe Plot: A Visual Fingerprinting Technique for Sequential Data. / Rathish, Harith; Picón, Ginés Carreto ; Schulz, Hans-Jörg.
Poster Proceedings of the 26th Eurographics Conference on Visualization. ed. / Kostiantyn Kucher; Alexandra Diehl; Christina Gillmann. The Eurographics Association, 2024.

Research output: Contribution to book/anthology/report/proceeding › Article in proceedings › Research › peer-review

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AB - Visual summaries of sequential data are often used to identify common trends at a glance. In this poster, we propose a visualization technique to fingerprint sequential data by showing the difference between contiguous data points. For each data point in the sequence, we visualize the difference between itself and the last data point as well as the next data point. As an application, we visualized the revision histories of Wikipedia articles to demonstrate the exploratory value of this technique.

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DO - 10.2312/evp.20241087

M3 - Article in proceedings

BT - Poster Proceedings of the 26th Eurographics Conference on Visualization

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