Mining High Utility Itemsets from its Concise and Lossless Representations
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2015, Vol 17, Issue 5
Abstract
Abstract: Mining high utility items from databases using the utility of items is an emerging technology.Recent algorithms have a drawback in the performance level considering memory and time.Novel strategy proposed here is the Miner Algorithm.A vertical data structure is used to store the elements with the utility values. A matrix representation is generated to identify the element co-occurrences and reduce the join operation for the patterns generated. An extensive experimental study with the datasets shows that the resulting algorithmreduces the join operation upto 95% compared with the UP Growth state of the art algorithm.
Authors and Affiliations
Nasreen Ali A. , Arunkumar M
Keywords
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