DMiner: Dashboard design mining and recommendation
Dashboards, which comprise multiple views on a single display, help analyze and communicate multiple perspectives of data simultaneously. However, creating effective and elegant dashboards is challenging since it requires careful and logical arrangement and coordination of multiple visualizations. T...
Saved in:
Main Authors: | LIN, Yanna, LI, Haotian, WU, Aoyu, WANG, Yong, QU, Huamin |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2023
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/8548 https://ink.library.smu.edu.sg/context/sis_research/article/9551/viewcontent/DMiner_Dashboard_design_mining_and_recommendation.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Dashboard design mining and recommendation
by: LIN, Yanna, et al.
Published: (2023) -
KG4Vis: A knowledge graph-based approach for visualization recommendation
by: LI, Haotian, et al.
Published: (2022) -
VAID: Indexing view designs in visual analytics system
by: YING, Lu, et al.
Published: (2024) -
AdaVis: Adaptive and explainable visualization recommendation for tabular data
by: ZHANG, Songheng, et al.
Published: (2023) -
Towards strategic media
by: Plewe, D.A.
Published: (2014)