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
- 2. Jidong Zhai
- 3. Xipeng Shen
- 4. Onur Mutlu
- 5. Wenguang Chen
Incoming Citations (Sorted by Pagerank)
Showing 12 of 12 citing papers.
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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 |
|---|---|---|---|---|
| 4 | Pregel: A System for Large-Scale Graph Processing | 2010 | SIGMOD | 0.0019040811 |
| 193 | On Supporting Containment Queries in Relational Database Management Systems | 2001 | SIGMOD | 0.00035591171 |
| 455 | Processing Analytical Queries over Encrypted Data | 2013 | VLDB | 0.00022736946 |
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