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SIGMOD
2000
ACM

SQLEM: Fast Clustering in SQL using the EM Algorithm

9 years 1 months ago
SQLEM: Fast Clustering in SQL using the EM Algorithm
Clustering is one of the most important tasks performed in Data Mining applications. This paper presents an e cient SQL implementation of the EM algorithm to perform clustering in very large databases. Our version can e ectively handle high dimensional data, a high number of clusters and more importantly, a very large number of data records. We present three strategies to implement EM in SQL: horizontal, vertical and a hybrid one. We expect this work to be useful for data mining programmers and users who want to cluster large data sets inside a relational DBMS.
Carlos Ordonez, Paul Cereghini
Added 01 Aug 2010
Updated 01 Aug 2010
Type Conference
Year 2000
Where SIGMOD
Authors Carlos Ordonez, Paul Cereghini
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