Efficient Implementation of Large-Scale Multi-Structural Databases
Summary: Multi-structural databases: a unified data model for large-scale, multi-dimensional, hierarchical data, with three optimization-based query types captured in a single framework. Efficient subclass algorithms and a real-time implementation over billions of web documents, aided by random sampling. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. R. Fagin (IBM)
- 2. Ph. Kolaitis (IBM)
- 3. R. Kumar (IBM)
- 4. J. Novak (IBM)
- 5. D. Sivakumar (IBM)
- 6. A. Tomkins (IBM)
BibTeX Citation
@article{fagin_vldb05,
title = {{Efficient Implementation of Large-Scale Multi-Structural Databases}},
author = {Fagin, R. and Kolaitis, Ph. and Kumar, R. and Novak, J. and Sivakumar, D. and Tomkins, A.},
journal = {PVLDB},
series = {{VLDB} '05},
pages = {958--969},
year = {2005}
}Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,161 | DIFF: A Relational Interface for Large-Scale Data Explanation | 2019 | VLDB | 9.0606664e-05 |
| 7,333 | Interesting-Phrase Mining for Ad-Hoc Text Analytics | 2010 | VLDB | 5.6430503e-05 |
| 8,153 | The Cascading Analysts Algorithm | 2018 | SIGMOD | 5.4769543e-05 |
| 12,580 | Relaxation in Text Search using Taxonomies | 2008 | VLDB | 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 |
|---|---|---|---|---|
| 11 | Implementing Data Cubes Efficiently | 1996 | SIGMOD | 0.00071822821 |
| 4,392 | Multi-Structural Databases | 2005 | PODS | 6.7288249e-05 |
| 4,427 | What can Hierarchies do for Data Warehouses? | 1999 | VLDB | 6.7095871e-05 |
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| 7 | 50 | Efficient Query Evaluation on Probabilistic Databases | 2004 | VLDB |
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