Efficient Document Analytics on Compressed Data: Method, Challenges, Algorithms, Insights
Summary: Compression-based direct processing for document analytics on compressed data via Sequitur's hierarchical grammars. Guidelines and modules to enable practice; experiments show 90.8% storage savings, 77.5% memory savings, and 1.6x (sequential) to 2.2x (distributed) speedups. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Feng Zhang (Renmin University of China)
- 2. Jidong Zhai (Tsinghua University)
- 3. Xipeng Shen (North Carolina State University)
- 4. Onur Mutlu (ETH Zurich)
- 5. Wenguang Chen (Tsinghua University)
BibTeX Citation
@article{zhang_vldb18,
title = {{Efficient Document Analytics on Compressed Data: Method, Challenges, Algorithms, Insights}},
author = {Zhang, Feng and Zhai, Jidong and Shen, Xipeng and Mutlu, Onur and Chen, Wenguang},
journal = {PVLDB},
series = {{VLDB} '18},
volume = {11},
number = {11},
pages = {1522--1535},
doi = {10.14778/3236187.3236203},
url = {https://doi.org/10.14778/3236187.3236203},
year = {2018}
}Incoming Citations (Sorted by Pagerank)
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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 |
|---|---|---|---|---|
| 3 | Pregel: A System for Large-Scale Graph Processing | 2010 | SIGMOD | 0.0012250108 |
| 163 | On Supporting Containment Queries in Relational Database Management Systems | 2001 | SIGMOD | 0.00027839792 |
| 412 | Processing Analytical Queries over Encrypted Data | 2013 | VLDB | 0.00018901853 |
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