F-IVM: Learning over Fast-Evolving Relational Data
Summary: F-IVM enables real-time analytics over training datasets defined by queries on fast-evolving relational databases. Demonstrated on model selection, Chow-Liu trees, and ridge linear regression to support continuous ML workloads in rapidly changing data. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Milos Nikolic (University of Edinburgh)
- 2. Haozhe Zhang (University of Oxford)
- 3. Ahmet Kara (University of Oxford)
- 4. Dan Olteanu (University of Oxford)
BibTeX Citation
@inproceedings{nikolic_sigmod20,
title = {{F-IVM: Learning over Fast-Evolving Relational Data}},
author = {Nikolic, Milos and Zhang, Haozhe and Kara, Ahmet and Olteanu, Dan},
series = {{SIGMOD} '20},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3318464.3384702},
url = {https://dl.acm.org/doi/10.1145/3318464.3384702},
year = {2020}
}Incoming Citations (Sorted by Pagerank)
Showing 9 of 9 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,128 | The Relational Data Borg is Learning | 2020 | VLDB | 6.8850804e-05 |
| 4,390 | ARM-Net: Adaptive Relation Modeling Network for Structured Data | 2021 | SIGMOD | 6.7290926e-05 |
| 4,985 | Change Propagation Without Joins | 2023 | VLDB | 6.412102e-05 |
| 6,732 | Insert-Only versus Insert-Delete in Dynamic Query Evaluation | 2024 | PODS | 5.7885064e-05 |
| 9,470 | Powering In-Database Dynamic Model Slicing for Structured Data Analytics | 2024 | VLDB | 5.2634238e-05 |
| 9,473 | FEAST: A Communication-efficient Federated Feature Selection Framework for Relational Data | 2023 | SIGMOD | 5.2634238e-05 |
| 9,993 | In-Database Data Imputation | 2024 | SIGMOD | 5.1815618e-05 |
| 11,017 | Streaming View: An Efficient Data Processing Engine for Modern Real-time Data Warehouse of Alibaba Cloud | 2025 | VLDB | 5.093636e-05 |
| 11,391 | Regularized Pairwise Relationship based Analytics for Structured Data | 2023 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 438 | DBToaster: Higher-order Delta Processing for Dynamic, Frequently Fresh Views | 2012 | VLDB | 0.00018471721 |
| 536 | Learning Linear Regression Models over Factorized Joins | 2016 | SIGMOD | 0.0001693369 |
| 3,206 | Incremental View Maintenance with Triple Lock Factorization Benefits | 2018 | SIGMOD | 7.6367549e-05 |
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