ClusterJoin: A Similarity Joins Framework using Map-Reduce
Summary: ClusterJoin: a MapReduce framework for scalable similarity joins that partitions data by distribution and routes records to relevant partitions. Bisector-based candidate filters with sampling-driven load balancing deliver probabilistic guarantees and robust scalability for high-dimensional, low-threshold data. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Akash Das Sarma (Stanford University)
- 2. Yeye He (Microsoft)
- 3. Surajit Chaudhuri (Microsoft)
BibTeX Citation
@article{sarma_vldb14,
title = {{ClusterJoin: A Similarity Joins Framework using Map-Reduce}},
author = {Sarma, Akash Das and He, Yeye and Chaudhuri, Surajit},
journal = {PVLDB},
series = {{VLDB} '14},
volume = {7},
number = {12},
pages = {1059--1070},
doi = {10.14778/2732977.2732981},
url = {https://doi.org/10.14778/2732977.2732981},
year = {2014}
}
Incoming Citations (Sorted by Pagerank)
Showing 21 of 21 citing papers.
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 30 | SCOPE: Easy and Efficient Parallel Processing of Massive Data Sets | 2008 | VLDB | 0.00051174276 |
| 169 | Efficient Exact Set-Similarity Joins | 2006 | VLDB | 0.0002743469 |
| 356 | Efficient Parallel Set-Similarity Joins Using MapReduce | 2010 | SIGMOD | 0.00020303289 |
| 843 | Processing Theta-Joins using MapReduce* | 2011 | SIGMOD | 0.00013666161 |
| 991 | Bayesian Locality Sensitive Hashing for Fast Similarity Search | 2012 | VLDB | 0.00012793339 |
| 1,415 | V-SMART-Join: A Scalable MapReduce Framework for All-Pair Similarity Joins of Multisets and Vectors | 2012 | VLDB | 0.00010840141 |
| 3,671 | Exploiting MapReduce-based Similarity Joins | 2012 | SIGMOD | 7.2117915e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 12,090 | Let's Rethink Join Optimization in Distributed Systems | 2015 | CIDR |
| 2 | 10,359 | DiskJoin: Large-scale Vector Similarity Join with SSD | 2026 | SIGMOD |
| 3 | 72 | Map-Reduce-Merge: Simplified Relational Data Processing on Large Clusters | 2007 | SIGMOD |
| 4 | 6,157 | Similarity Join over Array Data | 2016 | SIGMOD |
| 5 | 769 | A Comparison of Join Algorithms for Log Processing in MapReduce | 2010 | SIGMOD |
| 6 | 11,149 | Similarity Joins of Sparse Features | 2024 | SIGMOD |
| 7 | 2,137 | Efficient Processing of k Nearest Neighbor Joins using MapReduce | 2012 | VLDB |
| 8 | 4,260 | Set Similarity Joins on MapReduce: An Experimental Survey | 2018 | VLDB |
| 9 | 356 | Efficient Parallel Set-Similarity Joins Using MapReduce | 2010 | SIGMOD |
| 10 | 3,671 | Exploiting MapReduce-based Similarity Joins | 2012 | SIGMOD |