NetCube: A Scalable Tool for Fast Data Mining and Compression
Summary: NetCube uses Bayesian networks to model the joint distribution and yield approximate counts for don't-care queries, leveraging correlations. Linear preprocessing; constant-time estimates; high compression (1800:1) with low reconstruction error, enabling fast mining. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,375 | Sample Debiasing in the Themis Open World Database System | 2020 | SIGMOD | 6.2427076e-05 |
| 6,330 | Efficient Construction of Approximate Ad-Hoc ML models Through Materialization and Reuse | 2018 | VLDB | 5.1077416e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 9 of 9 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 | 0.0011708144 |
| 273 | Approximate Computation of Multidimensional Aggregates of Sparse Data Using Wavelets | 1999 | SIGMOD | 0.00029390945 |
| 361 | Histogram-Based Approximation of Set-Valued Query Answers | 1999 | VLDB | 0.00025775749 |
| 472 | Bottom-Up Computation of Sparse and Iceberg CUBEs | 1999 | SIGMOD | 0.00022346384 |
| 1,241 | Multi-dimensional Selectivity Estimation Using Compressed Histogram Information | 1999 | SIGMOD | 0.00013097578 |
| 1,623 | Scalable Techniques for Mining Causal Structures | 1998 | VLDB | 0.00011102927 |
| 1,951 | Performance Measurements of Compressed Bitmap Indices | 1999 | VLDB | 9.9685919e-05 |
| 4,444 | Hierarchical Cubes for Range-Sum Queries | 1999 | VLDB | 6.1831691e-05 |
| 4,528 | Query Optimization for Selections using Bitmaps | 1999 | SIGMOD | 6.1083382e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11 | Implementing Data Cubes Efficiently | 1996 | SIGMOD | 0.0011708144 |
| 10,902 | The Moments Method for Approximate Data Cube Queries | 2024 | PODS | 4.1945683e-05 |
| 247 | On the Computation of Multidimensional Aggregates | 1996 | VLDB | 0.00030927763 |
| 11,835 | An Efficient MapReduce Cube Algorithm for Varied Data Distributions | 2016 | SIGMOD | 4.1945683e-05 |
| 7,081 | The Polynomial Complexity of Fully Materialized Coalesced Cubes | 2004 | VLDB | 4.8413336e-05 |
| 11,411 | High-dimensional Data Cubes | 2022 | VLDB | 4.1945683e-05 |
| 1,955 | Efficient Computation of Iceberg Cubes with Complex Measures | 2001 | SIGMOD | 9.9629452e-05 |
| 5,202 | Mining Multi-Dimensional Constrained Gradients in Data Cubes | 2001 | VLDB | 5.633298e-05 |
| 472 | Bottom-Up Computation of Sparse and Iceberg CUBEs | 1999 | SIGMOD | 0.00022346384 |
| 1,191 | Fast Computation of Sparse Datacubes | 1997 | VLDB | 0.00013434201 |