Fainder: A Fast and Accurate Index for Distribution-Aware Dataset Search
Summary: Fainder indexes heterogeneous histogram summaries to support percentile predicates, enabling distribution-aware dataset search beyond keyword matching. Binary search plus multistep pruning delivers accurate retrieval with order-of-magnitude speedups on large decentralized repositories. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Lennart Behme (Berlin Institute for the Foundations of Learning and Data; Technische University of Berlin)
- 2. Sainyam Galhotra (Cornell University)
- 3. Kaustubh Beedkar (Indian Institute of Technology Delhi)
- 4. Volker Markl (Berlin Institute for the Foundations of Learning and Data; German National Research Center for Information Technology; Technische University of Berlin)
BibTeX Citation
@article{behme_vldb24,
title = {{Fainder: A Fast and Accurate Index for Distribution-Aware Dataset Search}},
author = {Behme, Lennart and Galhotra, Sainyam and Beedkar, Kaustubh and Markl, Volker},
journal = {PVLDB},
series = {{VLDB} '24},
volume = {17},
number = {11},
pages = {3269--3282},
doi = {10.14778/3681954.3681999},
url = {https://doi.org/10.14778/3681954.3681999},
year = {2024}
}Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,553 | Aegis: A Correlation-Based Data Masking Advisor for Data-Sharing Ecosystems | 2026 | SIGMOD | 4.9769913e-05 |
| 10,684 | Qualitative Join Discovery in Data Lakes using Examples | 2026 | SIGMOD | 4.9769913e-05 |
| 10,826 | FedAugment: Table Augmentation Search over Decentralized Data Repositories | 2026 | VLDB | 4.9769913e-05 |
| 10,900 | Matryoshka: Uncovering Relevant Features in Data Lakes to Enhance Machine Learning Applications | 2026 | VLDB | 4.9769913e-05 |
| 11,090 | A Theoretical Framework for Distribution-Aware Dataset Search | 2025 | PODS | 4.9769913e-05 |
| 11,161 | Finding What You’re Looking For: A Distribution-Aware Dataset Search Engine in Action | 2025 | SIGMOD | 4.9769913e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 18 of 18 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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| 1 | 12,101 | IDAR: Fast Supergraph Search Using DAG Integration | 2020 | VLDB |
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| 4 | 9,529 | RDFind: Scalable Conditional Inclusion Dependency Discovery in RDF Datasets | 2016 | SIGMOD |
| 5 | 11,525 | FairHash: A Fair and Memory/Time-efficient Hashmap | 2024 | SIGMOD |
| 6 | 10,068 | Fast Search-By-Classification for Large-Scale Databases Using Index-Aware Decision Trees and Random Forests | 2023 | VLDB |
| 7 | 10,826 | FedAugment: Table Augmentation Search over Decentralized Data Repositories | 2026 | VLDB |
| 8 | 11,891 | Fast Dataset Search with Earth Mover's Distance | 2022 | VLDB |
| 9 | 11,161 | Finding What You’re Looking For: A Distribution-Aware Dataset Search Engine in Action | 2025 | SIGMOD |
| 10 | 11,090 | A Theoretical Framework for Distribution-Aware Dataset Search | 2025 | PODS |