Bridging Information Visualization with Machine Learning (Dagstuhl Seminar 15101)

Authors Daniel A. Keim, Tamara Munzner, Fabrice Rossi, Michael Verleysen and all authors of the abstracts in this report



PDF
Thumbnail PDF

File

DagRep.5.3.1.pdf
  • Filesize: 1.43 MB
  • 27 pages

Document Identifiers

Author Details

Daniel A. Keim
Tamara Munzner
Fabrice Rossi
Michael Verleysen
and all authors of the abstracts in this report

Cite AsGet BibTex

Daniel A. Keim, Tamara Munzner, Fabrice Rossi, and Michael Verleysen. Bridging Information Visualization with Machine Learning (Dagstuhl Seminar 15101). In Dagstuhl Reports, Volume 5, Issue 3, pp. 1-27, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2015)
https://doi.org/10.4230/DagRep.5.3.1

Abstract

This report documents the program and the outcomes of Dagstuhl Seminar 15101 "Bridging Information Visualization with Machine Learning". This seminar is a successor to Dagstuhl seminar 12081 "Information Visualization, Visual Data Mining and Machine Learning" held in 2012. The main goal of this second seminar was to identify important challenges to overcome in order to build systems that integrate machine learning and information visualization.
Keywords
  • Information visualization
  • Machine learning
  • Visual data mining
  • Exploratory data analysis

Metrics

  • Access Statistics
  • Total Accesses (updated on a weekly basis)
    0
    PDF Downloads
Questions / Remarks / Feedback
X

Feedback for Dagstuhl Publishing


Thanks for your feedback!

Feedback submitted

Could not send message

Please try again later or send an E-mail