HUIL-TN & HUI-TN: Mining high utility itemsets based on pattern-growth
نویسندگان
چکیده
منابع مشابه
Mining Minimal High-Utility Itemsets
Mining high-utility itemsets (HUIs) is a key data mining task. It consists of discovering groups of items that yield a high profit in transaction databases. A major drawback of traditional high-utility itemset mining algorithms is that they can return a large number of HUIs. Analyzing a large result set can be very time-consuming for users. To address this issue, concise representations of high...
متن کاملMining high-utility itemsets based on particle swarm optimization
High-utility itemset mining (HUIM) is a critical issue in recent years since it can be used to reveal the profitable products by considering both the quantity and profit factors instead of frequent itemset mining (FIM) or association-rule mining (ARM). Several algorithms have been presented to mine high-utility itemsets (HUIs) and most of the designed algorithms have to handle the exponential s...
متن کاملEnhancing the Performance of Mining High Utility Itemsets Based On Pattern Algorithm
Data Mining is the process of analyzing data from different perspectives and summarizing it into useful information. An association in data mining indicates a logical dependency between various attributes of an entity. Association rule mining (ARM) is the process of mining past data for association rules. ARM only find the frequency of itemsets, which will not provide large amount of profit. Ut...
متن کاملPHM: Mining Periodic High-Utility Itemsets
High-utility itemset mining is the task of discovering highutility itemsets, i.e. sets of items that yield a high profit in a customer transaction database. High-utility itemsets are useful, as they provide information about profitable sets of items bought by customers to retail store managers, which can then use this information to take strategic marketing decisions. An inherent limitation of ...
متن کاملA Review of Mining High Utility Itemsets
Recently, high utility pattern or itemset mining has become the most important research issues in data mining. In high utility itemset mining, the profit values for every item are considered. Generating high utility itemsets from a set of transactions in horizontal data format is a common practice. We hereby present the study of issues related to the different structures used and algorithms for...
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ژورنال
عنوان ژورنال: PLOS ONE
سال: 2021
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0248349