DBScholar

Back to papers

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)

Paper ID
3283
Venue
SIGMOD
Year
2000
Pagerank
9.3312236e-05
Overall Rank
2,002 | 86.27%
DOI
10.1145/342009.335468

Incoming Non-self Citations Over Time

Authors

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.

Previous Page 1 / 1 Next

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.

Previous Page 1 / 1 Next

Semantically Similar Papers