QPJVis Demo: Quality-boost Progressive Join Query Processing System
Summary: QPJVis demos QPJ, an output-control progressive-join system that dynamically estimates the full-result distribution and temporarily hides intermediate tuples to correct join-key bias, producing progressive outputs that mirror the estimated complete result. Includes Prism input-control and a pure-input baseline for side-by-side comparison. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Xin Zhang
- 2. Ahmed Eldawy
Incoming Citations (Sorted by Pagerank)
Showing 0 of 0 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,094 | Scalable Sweeping-Based Spatial Join | 1998 | VLDB | 9.5547223e-05 |
| 3,835 | I've Seen "Enough": Incrementally Improving Visualizations to Support Rapid Decision Making | 2017 | VLDB | 6.7163364e-05 |
| 5,150 | Efficient Join Synopsis Maintenance for Data Warehouse | 2020 | SIGMOD | 5.6626586e-05 |
| 6,136 | Scalable Progressive Analytics on Big Data in the Cloud | 2013 | VLDB | 5.1928748e-05 |
| 7,073 | Marviq: Quality-Aware Geospatial Visualization of Range-Selection Queries Using Materialization | 2020 | SIGMOD | 4.842703e-05 |
| 7,840 | Progressive Join Algorithms Considering User Preference | 2021 | CIDR | 4.6371736e-05 |
Previous
Page 1 / 1
Next