Abstract
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.
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© 2002 Springer-Verlag Berlin Heidelberg
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(2002). Association Rules in Very Large Databases. In: Zhang, C., Zhang, S. (eds) Association Rule Mining. Lecture Notes in Computer Science(), vol 2307. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46027-6_6
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DOI: https://doi.org/10.1007/3-540-46027-6_6
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Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-43533-4
Online ISBN: 978-3-540-46027-5
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