Panning for Insight: Amplifying Insight through Tight Integration of Machine Learning, Data Mining, and Visualization

Karer, Benjamin; Scheler, Inga; Hagen, Hans

Panning for Insight: Amplifying Insight through Tight Integration of Machine Learning, Data Mining, and Visualization

Files

001-005.pdf (883.04 KB)

Date

2018

Authors

Karer, Benjamin
Scheler, Inga
Hagen, Hans

Publisher

The Eurographics Association

Abstract

With the rapid progress made in Data Mining, Visualization, and Machine Learning during the last years, combinations of these methods have gained increasing interest. This paper summarizes ideas behind ongoing work on combining methods of these three domains into an insight-driven interactive data analysis workflow. Based on their interpretation of data visualizations, users generate metadata to be fed back into the analysis. The resulting resonance effect improves the performance of subsequent analysis. The paper outlines the ideas behind the workflow, indicates the benefits and discusses how to avoid potential pitfalls.

        @inproceedings{10.2312:mlvis.20181130
,
booktitle = {Machine Learning Methods in Visualisation for Big Data
},
editor = {Ian Nabney and Jaakko Peltonen and Daniel Archambault
},
title = {{Panning for Insight: Amplifying Insight through Tight Integration of Machine Learning, Data Mining, and Visualization
}},
author = {Karer, Benjamin and 
Scheler, Inga and 
Hagen, Hans
},
year = {2018
},
publisher = {The Eurographics Association
},
ISBN = {978-3-03868-062-8
},
DOI = {10.2312/mlvis.20181130
}
}