Deepeye: towards automatic data visualization
WebDeepEye: Towards Automatic Data Visualization. In ICDE. [9] Rischan Mafrur, Mohamed A. Sharaf, and Hina A. Khan. 2024. DiVE: Diversifying View Recommendation for Visual Data Exploration. In CIKM. [10] Dominik Moritz, Chenglong Wang, Greg L Nelson, Halden Lin, Adam M Smith, Bill Howe, and Jeffrey Heer. 2024. Formalizing vi-
Deepeye: towards automatic data visualization
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http://dbgroup.cs.tsinghua.edu.cn/ligl/papers/icde18-deepeye.pdf http://dbgroup.cs.tsinghua.edu.cn/ligl/papers/icde18-deepeye.pdf
WebAPIs of DeepEye. DeepEye: Towards Automatic Data Visualization [ICDE 2024] - DeepEye-APIs/FlightDelayStatistics2015.csv at master · Thanksyy/DeepEye-APIs WebDec 5, 2024 · Quda. Quda aims to help V-NLIs recognize analytic tasks from free-form natural language by training and evaluating cutting-edge multi-label classification models. The dataset contains 14035 diverse user queries, and each is annotated with one or multiple analytic tasks. Quda achieves this goal by first gathering seed queries with data analysts ...
WebMay 27, 2024 · In this work, we present a self-driving data visualization system, called DeepEye , that automatically generates and recommends visualizations based on the … WebDEEPEYE is presented, an end-to-end data science system for monitoring and exploring COVID-19 data, which ranges from (task-driven) data preparation, (descriptive, diagnostic, and prescriptive) data analytics, user interactions through (linked) spatio-temporal data visualizations, and applications in different use cases. The COVID-19 pandemic is a …
WebA necessary step to visualize data is through creating suitable specifications in some declarative visualization languages (DVLs, e.g., Vega-Lite, ECharts). Due to the steep …
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