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ORCIDHILDA@SIGMOD 2023: Seattle, WA, USA
- Proceedings of the Workshop on Human-In-the-Loop Data Analytics, HILDA 2023, Seattle, WA, USA, 18 June 2023. ACM 2023
- Daniel Kerrigan
, Enrico Bertini:
SliceLens: Guided Exploration of Machine Learning Datasets. 1:1-1:7 - Kristina Wolf, Dominik Winecki, Arnab Nandi:
Camera-First Form Filling: Reducing the Friction in Climate Hazard Reporting. 2:1-2:7 - Sadeem Alsudais, Avinash Kumar, Chen Li:
Raven: Accelerating Execution of Iterative Data Analytics by Reusing Results of Previous Equivalent Versions. 3:1-3:7 - Oliver Kennedy, Boris Glavic, Michael Brachmann:
Overlay Spreadsheets. 4:1-4:7 - Jun Yuan, Aritra Dasgupta:
A Human-in-the-loop Workflow for Multi-Factorial Sensitivity Analysis of Algorithmic Rankers. 5:1-5:5 - Colin Brown, Hamed Alhoori, David Koop:
Facilitating Dependency Exploration in Computational Notebooks. 6:1-6:7 - Yiru Chen, Jeffrey Tao, Eugene Wu:
DIG: The Data Interface Grammar. 7:1-7:7 - Zezhou Huang, Pavan Kalyan Damalapati, Eugene Wu:
Aggregation Consistency Errors in Semantic Layers and How to Avoid Them. 8:1-8:7 - Kaustav Bhattacharjee, Aritra Dasgupta:
VALUE: Visual Analytics driven Linked data Utility Evaluation. 9:1-9:7 - Jianhao Cao, Tamara Munzner, Rachel Pottinger:
Visualizing a Tabular Data Repository to Facilitate Descriptive Tag Augmentation for New Tables. 10:1-10:3 - Mengqi Zhang, Pranay Mundra, Chukwubuikem Chikweze, Fatemeh Nargesian, Gerhard Weikum:
Approximate Query Answering over Open Data. 11:1-11:3 - Jinjin Zhao, Avigdor Gal, Sanjay Krishnan:
Data Makes Better Data Scientists. 12:1-12:3 - Timo Räth, Ngozichukwuka Onah, Kai-Uwe Sattler:
Interactive Data Cleaning for Real-Time Streaming Applications. 13:1-13:3
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