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TopHUI: Top-k high-utility itemset mining with negative utility
2020 IEEE International Conference on Big Data (Big Data), 2020In the field of data science, utility-driven data mining has become an emergent intelligent technique with wide applications. The existing utility mining algorithms usually discover all the patterns satisfying a given minimum utility threshold.
Wensheng Gan +4 more
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Mining of high‐utility itemsets with negative utility
Expert Systems, 2018AbstractHigh‐utility itemset (HUI) mining is an important tasks during data mining. Recently, many algorithms have been proposed to discover HUIs. Most of the algorithms work only for itemsets with positive utility values. However, in the real world, items are found with both positive and negative utility values.
Kuldeep Singh +3 more
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Binary partition for itemsets expansion in mining high utility itemsets
Intelligent Data Analysis, 2016High utility itemset mining has recently emerged to address the limitations of frequent itemset mining. It entails relevance measures to reflect both statistical significance and user expectations. Whether breadth-first or depth-first search algorithms are employed, most methods generate new candidates by 1-extension of existing itemsets (i.e., by ...
Song, Wei, Wang, Chunhua, Li, Jinhong
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Efficient Algorithms for Mining High Utility Itemset
2017 International Conference on Recent Trends in Electrical, Electronics and Computing Technologies (ICRTEECT), 2017Data mining uses various algorithms for searching interesting information and hidden patterns from the large database. Traditional frequent itemset mining (FIM) generate large amount of frequent itemset without considering the quantity and profit of item purchased.
Snehal D. Ambulkar, Prashant N. Chatur
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Mining high utility itemsets without candidate generation
Proceedings of the 21st ACM international conference on Information and knowledge management, 2012High utility itemsets refer to the sets of items with high utility like profit in a database, and efficient mining of high utility itemsets plays a crucial role in many real-life applications and is an important research issue in data mining area.
Mengchi Liu, Junfeng Qu
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PHM: Mining Periodic High-Utility Itemsets
2016High-utility itemset mining is the task of discovering high-utility 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 ...
Philippe Fournier-Viger +3 more
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Stable High Utility Itemset Mining
The 23rd International Conference on Information Integration and Web Intelligence, 2021Acquah Hackman +3 more
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HMiner: Efficiently mining high utility itemsets
Expert Systems with Applications, 2017Abstract High utility itemset mining problem uses the notion of utilities to discover interesting and actionable patterns. Several data structures and heuristic methods have been proposed in the literature to efficiently mine high utility itemsets.
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Mining local and peak high utility itemsets
Information Sciences, 2019Abstract A major limitation of traditional High Utility Itemset Mining (HUIM) algorithms is that they do not consider that the utility of itemsets may vary over time. Thus, traditional HUIM algorithms cannot find itemsets that do not yield a high utility when considering the whole database, but still have a high utility during specific time periods ...
Philippe Fournier-Viger +4 more
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Utility-Oriented Gradual Itemsets Mining Using High Utility Itemsets Mining
2023Fongue, Audrey +2 more
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