Machine learning meets visualization : Experiences and lessons learned

Ngo, Quynh Quang; Dennig, Frederik L.; Keim, Daniel A.; Sedlmair, Michael

Machine learning meets visualization : Experiences and lessons learned

Dateien

Ngo_2-n8aqwbi3iil62.pdfGröße: 1.22 MBDownloads: 63

Datum

2022

Autor:innen

Ngo, Quynh Quang

Dennig, Frederik L.

Keim, Daniel A.

Sedlmair, Michael

Open Access-Veröffentlichung

Open Access Hybrid

Sammlungen

Informatik und Informationswissenschaft

Publikationstyp

Zeitschriftenartikel

Publikationsstatus

Published

Erschienen in

it - Information Technology. De Gruyter Oldenbourg. 2022, 64(4-5), pp. 169-180. ISSN 2081-3856. eISSN 2196-7032. Available under: doi: 10.1515/itit-2022-0034

Zusammenfassung

In this article, we discuss how Visualization (VIS) with Machine Learning (ML) could mutually benefit from each other. We do so through the lens of our own experience working at this intersection for the last decade. Particularly we focus on describing how VIS supports explaining ML models and aids ML-based Dimensionality Reduction techniques in solving tasks such as parameter space analysis. In the other direction, we discuss approaches showing how ML helps improve VIS, such as applying ML-based automation to improve visualization design. Based on the examples and our own perspective, we describe a number of open research challenges that we frequently encountered in our endeavors to combine ML and VIS.

Fachgebiet (DDC)

004 Informatik

Schlagwörter

Visual analytics; machine-learning; quality metrics; dimensionality reduction

Zitieren

ISO 690

NGO, Quynh Quang, Frederik L. DENNIG, Daniel A. KEIM, Michael SEDLMAIR, 2022. Machine learning meets visualization : Experiences and lessons learned. In: it - Information Technology. De Gruyter Oldenbourg. 2022, 64(4-5), pp. 169-180. ISSN 2081-3856. eISSN 2196-7032. Available under: doi: 10.1515/itit-2022-0034

BibTex

@article{Ngo2022-09-02Machi-58499,
  year={2022},
  doi={10.1515/itit-2022-0034},
  title={Machine learning meets visualization : Experiences and lessons learned},
  number={4-5},
  volume={64},
  issn={2081-3856},
  journal={it - Information Technology},
  pages={169--180},
  author={Ngo, Quynh Quang and Dennig, Frederik L. and Keim, Daniel A. and Sedlmair, Michael}
}

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Universitätsbibliographie

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Begutachtet

Ja