Mining Various Utility and Frequency Based Itemsets

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Provided by: Technicaljournalsonline
Topic: Data Management
Format: PDF
In a data mining process, the number of patterns discovered can easily exceed the capabilities of a human user to identify interesting results. To address this problem, the quantitative measures like the support measure used in the traditional Association Rule Mining (ARM) are used to identify frequently occurring patterns of itemsets. A frequent itemset only reflects the statistical correlation between items, and it does not reflect the semantic significance of the items. Utility based itemset mining approach is used to overcome this limitation.
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