In various organizations, different amount of profits is obtained by selling different types of data of different quantities collected from multisource. The products have different profit rates based on the frequency of selling, i.e., some may be rarely sold and profit for them is less, however, some of these items are sold frequently and profit for them is high. In general, High Utility Itemset (HUI) mining considers profit and item quantities in transactions. To evaluate these frequent itemset, Frequent Pattern Mining (FPM) technique is considered which is based on finding out the frequency of the items to occur repeatedly within the dataset. In this work, Conditional Contrast High Itemset Tree (CCHIT) is used to store database information. The proposed tree finds out itemset of data, combines them thereafter few conditions are applied for pruning of itemset that is obtained from multi-source data.
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