SQLEM: Fast Clustering in SQL using the EM Algorithm
Summary: SQL-based EM clustering for very large databases, handling high-dimensional data, many clusters, and massive records. Proposes horizontal, vertical, and hybrid SQL strategies to execute EM inside a relational DBMS for scalable data mining. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Carlos Ordonez (Georgia Institute of Technology)
- 2. Paul Cereghini (NCR Corporation)
BibTeX Citation
@inproceedings{ordonez_sigmod00,
title = {{SQLEM: Fast Clustering in SQL using the EM Algorithm}},
author = {Ordonez, Carlos and Cereghini, Paul},
series = {{SIGMOD} '00},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/342009.335468},
url = {https://dl.acm.org/doi/10.1145/342009.335468},
year = {2000}
}
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 106 | The MADlib Analytics Library or MAD Skills, the SQL | 2012 | VLDB | 0.00033539462 |
| 3,543 | A Comparison of Platforms for Implementing and Running Very Large Scale Machine Learning Algorithms | 2014 | SIGMOD | 7.3268101e-05 |
| 5,500 | Combi-Operator – Database Support for Data Mining Applications | 2003 | VLDB | 6.1968585e-05 |
| 8,678 | Building Statistical Models and Scoring with UDFs | 2007 | SIGMOD | 5.3864318e-05 |
| 9,575 | Local Search Methods for k-Means with Outliers | 2017 | VLDB | 5.2528121e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 31 | BIRCH: An Efficient Data Clustering Method for Very Large Databases | 1996 | SIGMOD | 0.00050347119 |
| 88 | Efficient and Effective Clustering Methods for Spatial Data Mining | 1994 | VLDB | 0.00035240327 |
| 304 | Automatic Subspace Clustering of High Dimensional Data for Data Mining Applications | 1998 | SIGMOD | 0.00021917388 |
| 1,646 | Fast Algorithms for Projected Clustering | 1999 | SIGMOD | 0.00010128564 |
| 3,663 | Optimal Grid-Clustering: Towards Breaking the Curse of Dimensionality in High-Dimensional Clustering | 1999 | VLDB | 7.2151113e-05 |
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