Querying to mine clusters

Authors:
James Overton
Affiliations:
Northwest Mississippi Community College, Memphis, TN
Venue:
Proceedings of the 2nd annual conference on Mid-south college computing
Year:
2004

Citing 2
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Abstract

There are many different types of clustering methods and techniques. Most of them have originated from the areas of machine learning and artificial intelligence. Most of the above methods and techniques do not scale. Presented in this paper is a unique method for identifying clusters of tuples in a relational database. This method, called Querying to Mine Clusters (QMC), comes from the area of databases and is scalable.