AIDA - Abstraction for Advanced In-Database Analytics
Summary: AIDA abstracts advanced in-database analytics by emulating data-science syntax and executing inside the RDBMS. Client via Python with NumPy unifies relational and linear-algebra workflows, enabling transparent copy-free reformatting with no DBMS changes. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Joseph Vinish D’silva (McGill University)
- 2. Florestan De Moor (McGill University)
- 3. Bettina Kemme (McGill University)
BibTeX Citation
@article{dsilva_vldb18,
title = {{AIDA - Abstraction for Advanced In-Database Analytics}},
author = {D’silva, Joseph Vinish and De Moor, Florestan and Kemme, Bettina},
journal = {PVLDB},
series = {{VLDB} '18},
volume = {11},
number = {11},
pages = {1400--1413},
doi = {10.14778/3236187.3236194},
url = {https://doi.org/10.14778/3236187.3236194},
year = {2018}
}
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