Distributed Evaluation of Top-k Temporal Joins
Summary: RTJ defines top-k ranked temporal joins with interval predicates and scoring. TKIJ uses offline time-granule endpoint statistics and online score bounds to balance reducers, minimize replication, and prune results in Map-Reduce, yielding strong n-ary RTJ performance. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,510 | Relevance Queries for Interval Data | 2025 | SIGMOD | 4.1905499e-05 |
| 11,660 | Top-k Queries over Digital Traces | 2019 | SIGMOD | 4.1905499e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 14 of 14 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Previous
Page 1 / 1
Next
Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,139 | ClusterJoin: A Similarity Joins Framework using Map-Reduce | 2014 | VLDB | 7.4915127e-05 |
| 7,966 | Efficient Top-K Processing Over Query-Dependent Functions | 2008 | VLDB | 4.6089395e-05 |
| 11,898 | Let's Rethink Join Optimization in Distributed Systems | 2015 | CIDR | 4.1905499e-05 |
| 11,805 | Runtime Optimization of Join Location in Parallel Data Management Systems | 2017 | VLDB | 4.1905499e-05 |
| 7,660 | Processing Top-k Join Queries | 2010 | VLDB | 4.6814547e-05 |
| 8,065 | Efficient Computation of Quantiles over Joins | 2023 | PODS | 4.5899218e-05 |
| 3,428 | Distributed Join Algorithms on Thousands of Cores | 2017 | VLDB | 7.1002401e-05 |
| 7,512 | Ranking Large Temporal Data | 2012 | VLDB | 4.7135369e-05 |
| 9,353 | Rank Join Queries in NoSQL Databases | 2014 | VLDB | 4.3485003e-05 |
| 8,163 | Computing Complex Temporal Join Queries Efficiently | 2022 | SIGMOD | 4.5685178e-05 |