Solo: Data Discovery Using Natural Language Questions Via A Self-Supervised Approach
Q Wang, R Castro Fernandez - Proceedings of the ACM on Management …, 2023 - dl.acm.org
Most deployed data discovery systems, such as Google Datasets, and open data portals
only support keyword search. Keyword search is geared towards general audiences but …
only support keyword search. Keyword search is geared towards general audiences but …
EDAR 4.0: Machine Learning and Visual Analytics for Wastewater Management
Wastewater treatment plant (WWTP) operations manage massive amounts of data that can
be gathered with new Industry 4.0 technologies such as the Internet of Things and Big Data …
be gathered with new Industry 4.0 technologies such as the Internet of Things and Big Data …
[PDF][PDF] Aesthetics and Usability of Statistics Data Visualisation through Charts: An Eyetracking Study as a Tool for Chart Analysis
P Wlekly - European Research Studies Journal, 2024 - ersj.eu
Purpose: This study focuses on identifying key factors influencing the choice of certain types
of data visualizations in an economic context, emphasizing aesthetics and usability. The …
of data visualizations in an economic context, emphasizing aesthetics and usability. The …
[PDF][PDF] EDAR 4.0: Machine Learning and Visual Analytics for Wastewater Management. Sustainability 2024, 16, 3578
Wastewater treatment plant (WWTP) operations manage massive amounts of data that can
be gathered with new Industry 4.0 technologies such as the Internet of Things and Big Data …
be gathered with new Industry 4.0 technologies such as the Internet of Things and Big Data …
Tabular Data Extraction and Discovery Using Natural Language Questions
Q Wang - 2024 - knowledge.uchicago.edu
Tabular data extraction and discovery from a large corpus are two long-standing challenges
in data management. Traditional solutions involve much human effort in writing rules or …
in data management. Traditional solutions involve much human effort in writing rules or …