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KronoMiner: using multi-foci navigation for the visual exploration of time-series data

Published: 07 May 2011 Publication History

Abstract

The need for pattern discovery in long time-series data led researchers to develop interactive visualization tools and analytical algorithms for gaining insight into the data. Most of the literature on time-series data visualization either focus on a small number of tasks or a specific domain. We propose KronoMiner, a tool that embeds new interaction and visualization techniques as well as analytical capabilities for the visual exploration of time-series data. The interface's design has been iteratively refined based on feedback from expert users. Qualitative evaluation with an expert user not involved in the design process indicates that our prototype is promising for further research.

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    cover image ACM Conferences
    CHI '11: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
    May 2011
    3530 pages
    ISBN:9781450302289
    DOI:10.1145/1978942
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 07 May 2011

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    Author Tags

    1. interactive visualization
    2. multi-foci
    3. time-series data
    4. visual exploration

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    CHI '11 Paper Acceptance Rate 410 of 1,532 submissions, 27%;
    Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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    • (2024)Supporting Guided Exploratory Visual Analysis on Time Series Data with Reinforcement LearningIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.332720030:1(1172-1182)Online publication date: 1-Jan-2024
    • (2024)TimeSplines: Sketch-Based Authoring of Flexible and Idiosyncratic TimelinesIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.332652030:1(34-44)Online publication date: 1-Jan-2024
    • (2024)Visual Exploration and Analysis of Simulation and Testing Data in Motor EngineeringIEEE Computer Graphics and Applications10.1109/MCG.2024.339296944:4(113-125)Online publication date: Jul-2024
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