Transaction-filtering data mining and a predictive model for intelligent data management
This thesis, first of all, proposes a new data mining paradigm (transaction-filtering association rule mining) addressing a time consumption issue caused by the repeated scans of original transaction databases in conventional associate rule mining algorithms. An in-memory transaction filter is desig...
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| Language: | en |
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Cranfield University
2012
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| Online Access: | http://dspace.lib.cranfield.ac.uk/handle/1826/7027 |