poster

Big data landscapes: improving the visualization of machine learning-based clustering algorithms

Authors:

Dietrich Kammer,

Mandy Keck,

Thomas Gründer,

Rainer GrohAuthors Info & Claims

AVI '18: Proceedings of the 2018 International Conference on Advanced Visual Interfaces

Article No.: 66, Pages 1 - 3

https://doi.org/10.1145/3206505.3206556

Published: 29 May 2018 Publication History

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Abstract

With the internet, massively heterogeneous data sources need to be understood and classified to provide suitable services to users such as content observation, data exploration, e-commerce, or adaptive learning environments. The key to providing these services is applying machine learning (ML) in order to generate structures via clustering and classification. Due to the intricate processes involved in ML, visual tools are needed to support designing and evaluating the ML pipelines. In this contribution, we propose a comprehensive tool that facilitates the analysis and design of ML-based clustering algorithms using multiple visualization features such as semantic zoom, glyphs, and histograms.

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Mandy Keck, Dietrich Kammer, Thomas Gründer, Thomas Thom, Martin Kleinsteuber, Alexander Maasch, and Rainer Groh. 2017. Towards Glyph-based Visualizations for Big Data Clustering. In Proceedings of the 10th International Symposium on Visual Information Communication and Interaction (VINCI '17). ACM, New York, NY, USA, 129--136.

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Cited By

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Müller MStoll EKrauss AHannss FKammer DBottoni PPanizzi E(2022)Investigating Usability and User Experience of Layer-based Interaction with a Deformable Elastic DisplayProceedings of the 2022 International Conference on Advanced Visual Interfaces10.1145/3531073.3531101(1-9)Online publication date: 6-Jun-2022
https://dl.acm.org/doi/10.1145/3531073.3531101
Wanasinghe TTrinh TNguyen TGosine RJames LWarrian P(2021)Human Centric Digital Transformation and Operator 4.0 for the Oil and Gas IndustryIEEE Access10.1109/ACCESS.2021.31036809(113270-113291)Online publication date: 2021
https://doi.org/10.1109/ACCESS.2021.3103680
Kammer DMüller MWojdziak JFranke I(2018)New Impressions in Interaction Design: A Task Taxonomy for Elastic Displaysi-com10.1515/icom-2018-002117:3(247-255)Online publication date: 19-Dec-2018
https://doi.org/10.1515/icom-2018-0021

Index Terms

Big data landscapes: improving the visualization of machine learning-based clustering algorithms
1. Computing methodologies
  1. Machine learning
2. Human-centered computing
  1. Visualization
    1. Visualization application domains
      1. Information visualization
      2. Visual analytics
    2. Visualization systems and tools

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Information & Contributors

Information

Published In

AVI '18: Proceedings of the 2018 International Conference on Advanced Visual Interfaces

May 2018

430 pages

ISBN:9781450356169

DOI:10.1145/3206505

General Chair:
Tiziana Catarci
Sapienza Università di Roma, Italy
,
Program Chairs:
Kent Norman
University of Maryland
,
Massimo Mecella
Sapienza Università di Roma, Italy

Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 29 May 2018

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AVI '18

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AVI '18: 2018 International Conference on Advanced Visual Interfaces

May 29 - June 1, 2018

Grosseto, Castiglione della Pescaia, Italy

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AVI '18 Paper Acceptance Rate 19 of 77 submissions, 25%;

Overall Acceptance Rate 128 of 490 submissions, 26%

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Cited By

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Müller MStoll EKrauss AHannss FKammer DBottoni PPanizzi E(2022)Investigating Usability and User Experience of Layer-based Interaction with a Deformable Elastic DisplayProceedings of the 2022 International Conference on Advanced Visual Interfaces10.1145/3531073.3531101(1-9)Online publication date: 6-Jun-2022
https://dl.acm.org/doi/10.1145/3531073.3531101
Wanasinghe TTrinh TNguyen TGosine RJames LWarrian P(2021)Human Centric Digital Transformation and Operator 4.0 for the Oil and Gas IndustryIEEE Access10.1109/ACCESS.2021.31036809(113270-113291)Online publication date: 2021
https://doi.org/10.1109/ACCESS.2021.3103680
Kammer DMüller MWojdziak JFranke I(2018)New Impressions in Interaction Design: A Task Taxonomy for Elastic Displaysi-com10.1515/icom-2018-002117:3(247-255)Online publication date: 19-Dec-2018
https://doi.org/10.1515/icom-2018-0021

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