Aug. 3, 2022, 1:10 a.m. | Lingbo Li, Tianle Li, Xinyi He, Mengyu Zhou, Shi Han, Dongmei Zhang

cs.LG updates on arXiv.org arxiv.org

Intelligent analysis and visualization of tables use techniques to
automatically recommend useful knowledge from data, thus freeing users from
tedious multi-dimension data mining. While many studies have succeeded in
automating recommendations through rules or machine learning, it is difficult
to generalize expert knowledge and provide explainable recommendations. In this
paper, we present the recommendation of conditional formatting for the first
time, together with chart recommendation, to exemplify intelligent table
analysis. We propose analytical semantics over tables to uncover common
analysis …

analysis arxiv data data analysis intelligent learning semantics tables visualization

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