Data Pipelines for User Group Analytics
Summary: Proposes data pipelines for User Group Analytics (UGA) that transform heterogeneous raw user data into actionable group insights. Reviews discovery, exploration, and visualization approaches and open challenges across social Web and healthcare domains. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Behrooz Omidvar-Tehrani (CNRS; University of Grenoble)
- 2. Sihem Amer-Yahia (CNRS; University of Grenoble)
BibTeX Citation
@inproceedings{omidvartehrani_sigmod19,
title = {{Data Pipelines for User Group Analytics}},
author = {Omidvar-Tehrani, Behrooz and Amer-Yahia, Sihem},
series = {{SIGMOD} '19},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3299869.3314028},
url = {https://dl.acm.org/doi/10.1145/3299869.3314028},
year = {2019}
}
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