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
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Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,501 | Relevance Queries for Interval Data | 2025 | SIGMOD | 4.1945683e-05 |
| 11,655 | Top-k Queries over Digital Traces | 2019 | SIGMOD | 4.1945683e-05 |
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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.
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,141 | ClusterJoin: A Similarity Joins Framework using Map-Reduce | 2014 | VLDB | 7.4829448e-05 |
| 7,963 | Efficient Top-K Processing Over Query-Dependent Functions | 2008 | VLDB | 4.613363e-05 |
| 11,890 | Let's Rethink Join Optimization in Distributed Systems | 2015 | CIDR | 4.1945683e-05 |
| 11,797 | Runtime Optimization of Join Location in Parallel Data Management Systems | 2017 | VLDB | 4.1945683e-05 |
| 7,692 | Processing Top-k Join Queries | 2010 | VLDB | 4.6761366e-05 |
| 8,061 | Efficient Computation of Quantiles over Joins | 2023 | PODS | 4.5943269e-05 |
| 3,443 | Distributed Join Algorithms on Thousands of Cores | 2017 | VLDB | 7.0887214e-05 |
| 7,513 | Ranking Large Temporal Data | 2012 | VLDB | 4.7180617e-05 |
| 9,347 | Rank Join Queries in NoSQL Databases | 2014 | VLDB | 4.3526718e-05 |
| 8,159 | Computing Complex Temporal Join Queries Efficiently | 2022 | SIGMOD | 4.5729025e-05 |