High Utility Pattern Mining from Large Dynamic Dataset: A Recent Survey

Saloni Lunia, Devendra Singh Kaushal, Mahesh Malviya


A retail businessman is interested to identifying its most valuable customers. The customers who play an important in overall profit. There are several algorithms have been developed to solve the problem to analysis the basket of the customer. These are mainly based on apriori. In fact mining pattern does not meet all the requirement of the business. Utility Mining is one of the extensions of Frequent Item set mining, which discovers item sets that occur frequently. In this paper, a literature survey of various algorithms for high utility item set mining has been presented. In many real-life applications where utility item sets provide useful information in different decision-making domains such as business transactions, medical, security, fraudulent transactions, retail communities.

Keywords: -Utility Mining, Pattern Mining, Profit, Retails Business, Customer.

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DOI: https://doi.org/10.26483/ijarcs.v6i7.2581


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