research-article

Survey on Visual Analysis of Event Sequence Data

Authors:

Nan CaoAuthors Info & Claims

IEEE Transactions on Visualization and Computer Graphics, Volume 28, Issue 12

Pages 5091 - 5112

https://doi.org/10.1109/TVCG.2021.3100413

Published: 01 December 2022 Publication History

Abstract

Event sequence data record series of discrete events in the time order of occurrence. They are commonly observed in a variety of applications ranging from electronic health records to network logs, with the characteristics of large-scale, high-dimensional and heterogeneous. This high complexity of event sequence data makes it difficult for analysts to manually explore and find patterns, resulting in ever-increasing needs for computational and perceptual aids from visual analytics techniques to extract and communicate insights from event sequence datasets. In this paper, we review the state-of-the-art visual analytics approaches, characterize them with our proposed design space, and categorize them based on analytical tasks and applications. From our review of relevant literature, we have also identified several remaining research challenges and future research opportunities.

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Survey on Visual Analysis of Event Sequence Data
1. Human-centered computing
  1. Human computer interaction (HCI)

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cover image IEEE Transactions on Visualization and Computer Graphics

IEEE Transactions on Visualization and Computer Graphics Volume 28, Issue 12

Dec. 2022

1222 pages

ISSN:1077-2626

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https://dl.acm.org/doi/10.1145/3643894
Liu SMa RZhao CLi ZXiao JLi Q(2024)BPCoach: Exploring Hero Drafting in Professional MOBA Tournaments via Visual AnalyticsProceedings of the ACM on Human-Computer Interaction10.1145/36373038:CSCW1(1-31)Online publication date: 26-Apr-2024
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