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2002 | OriginalPaper | Chapter

Association Rules in Very Large Databases

Published in: Association Rule Mining

Publisher: Springer Berlin Heidelberg

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Dealing with very large databases is one of the defining challenges in data mining research and development. Some databases are simp- ly too large (e.g., with terabytes of data) to be processed at one time. An ideal way of mining very large databases would be by us- ing paralleling techniques. This system employs hardware technology, such as parallel machines, to implement concurrent data mining al- gorithms. However, parallel machines are expensive, and less widely available, than single processor machines. This chapter presents some techniques for mining association rules in very large databases, using instance selection.

Metadata
Title
Association Rules in Very Large Databases
Copyright Year
2002
Publisher
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/3-540-46027-6_6