Improving Layout Quality by Mixing Treemap-Layouts Based on Data-Change Characteristics

Simple item page
dc.contributor.authorBethge, Josephen_US
dc.contributor.authorHahn, Sebastianen_US
dc.contributor.authorDöllner, Jürgenen_US
dc.contributor.editorMatthias Hullin and Reinhard Klein and Thomas Schultz and Angela Yaoen_US
dc.date.accessioned2017-09-25T06:55:10Z
dc.date.available2017-09-25T06:55:10Z
dc.date.issued2017
dc.description.abstractThis paper presents a hybrid treemap layout approach that optimizes layout-quality metrics by combining state-of-the-art treemap layout algorithms. It utilizes machine learning to predict those metrics based on data metrics describing the characteristics and changes of the dataset. For this, the proposed approach uses a neural network which is trained on artificially generated dataset,s containing a total of 15.8 million samples. The resulting model is integrated into an approach called Smart- Layouting. This approach is evaluated on real-world data from 100 publicly available software repositories. Compared to other state-of-the-art treemap algorithms it reaches an overall better result. Additionally, this approach can be customized by an end user's needs. The customization allows for specifying weights for the importance of each layout-quality metric. The results indicate, that the algorithm is able to adapt successfully towards a given set of weights.en_US
dc.description.sectionheadersInformation Visualization
dc.description.seriesinformationVision, Modeling & Visualization
dc.identifier.doi10.2312/vmv.20171261
dc.identifier.isbn978-3-03868-049-9
dc.identifier.pages69-76
dc.identifier.urihttps://doi.org/10.2312/vmv.20171261
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/vmv20171261
dc.publisherThe Eurographics Associationen_US
dc.subject[Human
dc.subjectcentered computing]
dc.subjectVisualization
dc.subjectTreemaps
dc.subject[Humancentered computing]
dc.subjectVisualization
dc.subjectEmpirical studies in visualization
dc.titleImproving Layout Quality by Mixing Treemap-Layouts Based on Data-Change Characteristicsen_US
Files
Original bundle
Now showing 1 - 5 of 10
Thumbnail Image
Name:
069-076.pdf
Size:
546.41 KB
Format:
Adobe Portable Document Format
Download
Thumbnail Image
Name:
balanced_score.pdf
Size:
4.44 KB
Format:
Adobe Portable Document Format
Download
Thumbnail Image
Name:
balanced_vars.pdf
Size:
4.84 KB
Format:
Adobe Portable Document Format
Download
Thumbnail Image
Name:
high_stability_score.pdf
Size:
4.47 KB
Format:
Adobe Portable Document Format
Download
Thumbnail Image
Name:
high_stability_vars.pdf
Size:
4.84 KB
Format:
Adobe Portable Document Format
Download
Collections
VMV17