دورية أكاديمية
InsigHTable: Insight-driven Hierarchical Table Visualization with Reinforcement Learning ...
| العنوان: | InsigHTable: Insight-driven Hierarchical Table Visualization with Reinforcement Learning ... |
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| المؤلفون: | Li, Guozheng, He, Peng, Wang, Xinyu, Li, Runfei, Liu, Chi Harold, Ou, Chuangxin, He, Dong, Wang, Guoren |
| بيانات النشر: | arXiv |
| سنة النشر: | 2024 |
| المجموعة: | DataCite Metadata Store (German National Library of Science and Technology) |
| مصطلحات موضوعية: | Human-Computer Interaction cs.HC, FOS Computer and information sciences |
| الوصف: | Embedding visual representations within original hierarchical tables can mitigate additional cognitive load stemming from the division of users' attention. The created hierarchical table visualizations can help users understand and explore complex data with multi-level attributes. However, because of many options available for transforming hierarchical tables and selecting subsets for embedding, the design space of hierarchical table visualizations becomes vast, and the construction process turns out to be tedious, hindering users from constructing hierarchical table visualizations with many data insights efficiently. We propose InsigHTable, a mixed-initiative and insight-driven hierarchical table transformation and visualization system. We first define data insights within hierarchical tables, which consider the hierarchical structure in the table headers. Since hierarchical table visualization construction is a sequential decision-making process, InsigHTable integrates a deep reinforcement learning ... |
| نوع الوثيقة: | article in journal/newspaper report |
| اللغة: | unknown |
| DOI: | 10.48550/arxiv.2405.17229 |
| الإتاحة: | https://doi.org/10.48550/arxiv.2405.17229Test https://arxiv.org/abs/2405.17229Test |
| حقوق: | arXiv.org perpetual, non-exclusive license ; http://arxiv.org/licenses/nonexclusive-distrib/1.0Test/ |
| رقم الانضمام: | edsbas.9B22F429 |
| قاعدة البيانات: | BASE |
| DOI: | 10.48550/arxiv.2405.17229 |
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