DORA THE EXPLORER
Author:
Affiliation:
1. CNRS, Univ. Grenoble Alpes, Grenoble, France
2. IRD, ESPACE-DEV, Montpellier, France
3. Max Planck Institute for Extraterrestrial Physics, Germany, Germany
Funder
European Union?s Horizon 2020
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3459637.3481967
Reference19 articles.
1. S. Amer-Yahia S. Kleisarchaki N. K. Kolloju L. V. Lakshmanan and R. H. Zamar. 2017. Exploring Rated Datasets with Rating Maps. In WWW. S. Amer-Yahia S. Kleisarchaki N. K. Kolloju L. V. Lakshmanan and R. H. Zamar. 2017. Exploring Rated Datasets with Rating Maps. In WWW.
2. O. Bar El T. Milo and A. Somech. 2020. Automatically generating data exploration sessions using deep reinforcement learning. In SIGMOD. 1527--1537. O. Bar El T. Milo and A. Somech. 2020. Automatically generating data exploration sessions using deep reinforcement learning. In SIGMOD. 1527--1537.
3. L. Biewald. 2020. Experiment Tracking with Weights and Biases. https://www.wandb.com/Software available from wandb.com. L. Biewald. 2020. Experiment Tracking with Weights and Biases. https://www.wandb.com/Software available from wandb.com.
4. M. Das S. Thirumuruganathan S. Amer-Yahia G. Das and C. Yu. 2012. Who Tags What? An Analysis Framework. pVLDB Endow. Vol. 5 11 (2012) 1567--1578. M. Das S. Thirumuruganathan S. Amer-Yahia G. Das and C. Yu. 2012. Who Tags What? An Analysis Framework. pVLDB Endow. Vol. 5 11 (2012) 1567--1578.
5. 2016. AIDE: an active learning-based approach for interactive data exploration;Dimitriadou K.;IEEE TKDE,2016
Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Cube query interestingness: Novelty, relevance, peculiarity and surprise;Information Systems;2024-07
2. Cleenex: Support for User Involvement during an Iterative Data Cleaning Process;Journal of Data and Information Quality;2024-03-19
3. SHEVA: A Visual Analytics System for Statistical Hypothesis Exploration;Proceedings of the VLDB Endowment;2023-08
4. ATENA-PRO: Generating Personalized Exploration Notebooks with Constrained Reinforcement Learning;Companion of the 2023 International Conference on Management of Data;2023-06-04
5. Learn to Explore: on Bootstrapping Interactive Data Exploration with Meta-learning;2023 IEEE 39th International Conference on Data Engineering (ICDE);2023-04
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