A dynamic approach for discovering maximal frequent itemsets

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dc.contributor.authorGeetha, M.
dc.contributor.authorD'Souza, R.J.
dc.date.accessioned2026-02-06T06:40:54Z
dc.date.issued2009
dc.description.abstractWe present a novel method, which reads the database at regular intervals as in Dynamic Itemsets Counting Technique and creates a tree called Dynamic Itemset Tree containing items which may be frequent, potentially frequent and infrequent. This algorithm requires less time to discover all maximal frequent itemsets since it involves a method for reducing the size of the database. This method prunes the transactions and items of the transactions which are not of our interest after every scan of the database. Also, this method is independent of the order of the items. © 2009 IEEE.
dc.identifier.citationProceedings - 2009 International Conference on Computer Engineering and Technology, ICCET 2009, 2009, Vol.2, , p. 62-66
dc.identifier.urihttps://doi.org/10.1109/ICCET.2009.153
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/33217
dc.subjectConfidence
dc.subjectDynamic
dc.subjectFrequent
dc.subjectPrunning
dc.subjectTree
dc.titleA dynamic approach for discovering maximal frequent itemsets

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