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- W3001294588 abstract "Data mining is the process of identifying patterns in data sets by applying appropriate methods with cluster of machine learning techniques. In recent decades, high utility itemset (HUI) mining has become the emerging research area, which focuses on frequency and also on utility related with the itemsets. Each itemset has a value like profit or user’s interest, called as the utility of that itemset. HUIs are present in a customer transaction database which yield a high profit. The target of HUI is to discover the itemsets that have utility value higher than the threshold value. The issues faced in HUIs are dealing with negative item values and number of database scans, mining in XML database, candidate sets and distributed computing network. This paper presents a survey of various algorithms and their restrictions in mining HUIs and the performance analysis of the surveyed algorithms." @default.
- W3001294588 created "2020-01-30" @default.
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- W3001294588 date "2020-01-01" @default.
- W3001294588 modified "2023-09-26" @default.
- W3001294588 title "Utility Mining Algorithms: A Bird’s Eye View" @default.
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- W3001294588 doi "https://doi.org/10.1007/978-3-030-37051-0_51" @default.
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