AIDA: an Adaptive Immersive Data Analyzer
Summary: AIDA is a domain-specific database and visual query interface for immersive sensory data, integrating virtual-classroom geometry, spatio-temporal behavior, and children’s interaction streams. It replays streams in real time to support continuous queries alongside retrospective spatio-temporal analysis. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Mehdi Sharifzadeh (University of Southern California)
- 2. Cyrus Shahabi (University of Southern California)
- 3. Bahareh Navai (University of Southern California)
- 4. Farid Parvini (University of Southern California)
- 5. Albert A. Rizzo (University of Southern California)
BibTeX Citation
@article{sharifzadeh_vldb04,
title = {{AIDA: an Adaptive Immersive Data Analyzer}},
author = {Sharifzadeh, Mehdi and Shahabi, Cyrus and Navai, Bahareh and Parvini, Farid and Rizzo, Albert A.},
journal = {PVLDB},
series = {{VLDB} '04},
pages = {1369},
doi = {10.1016/B978-012088469-8.50149-2},
url = {https://doi.org/10.1016/B978-012088469-8.50149-2},
year = {2004}
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 12,803 | AIMS: An Immersidata Management System | 2003 | CIDR | 5.093636e-05 |
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