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International Journal of Information Technology & Decision Making, 2010 High utility itemsets mining identifies itemsets whose utility satisfies a given threshold. It allows users to quantify the usefulness or preferences of items using different values. Thus, it reflects the impact of different items. High utility itemsets mining is useful in decision-making process of many applications, such as retail marketing and Web ...
Ying Liu 0039 +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 0003 +3 more
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Utility-Driven Mining of High Utility Episodes
2019 IEEE International Conference on Big Data (Big Data), 2019Sequence data, e.g., complex event sequence, is more commonly seen than other types of data (e.g., transaction data) in real-world applications. For the mining task from sequence data, several problems have been formulated, such as sequential pattern mining, episode mining, and sequential rule mining.
Wensheng Gan +3 more
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Fusion of diversified utility factors for high utility mining
Journal of Intelligent & Fuzzy Systems, 2022High utility mining is gaining prominence, and with the increasing set of business intelligence models, the scope of such significant practices is high. Rather than focusing only on profitability as one key utility metric, today’s organizations believe in having more robust levels of the multi-objective filtering process.
Abdullah Bokir, V. B. Narasimha
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Mining Utility Association Rules
Proceedings of the 2018 10th International Conference on Computer and Automation Engineering, 2018Mining high utility itemset is to find the itemsets that can bring higher profits to the company, which considers both of the profits and purchased quantities for the items. However, from the high utility itemsets, we cannot know what products should be recommended to the customer such that the profit can be increased when he/she bought some products ...
Yue-Shi Lee, Show-Jane Yen
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Third IEEE International Conference on Data Mining, 2004
Traditional association rule mining algorithms only generate a large number of highly frequent rules, but these rules do not provide useful answers for what the high utility rules are. We develop a novel idea of top-K objective-directed data mining, which focuses on mining the top-K high utility closed patterns that directly support a given business ...
Raymond Chan +2 more
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Traditional association rule mining algorithms only generate a large number of highly frequent rules, but these rules do not provide useful answers for what the high utility rules are. We develop a novel idea of top-K objective-directed data mining, which focuses on mining the top-K high utility closed patterns that directly support a given business ...
Raymond Chan +2 more
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High-utility and diverse itemset mining
Applied Intelligence, 2021High-utility Itemset Mining (HUIM) finds patterns from a transaction database with their utility no less than a user-defined threshold. The utility of an itemset is defined as the sum of the utilities of its items. The utility notion enables a data analyst to associate a profit score with each item and thereof to a pattern. We extend the notion of high-
Amit Verma +4 more
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Utility Pattern Mining Based on the Rule of Utility Leverage
2020 International Conference on Communications, Computing, Cybersecurity, and Informatics (CCCI), 2020Utility pattern mining is one of the important problem in the field of data mining. However, the current utility mining techniques is to discover high utility patterns, that is, the pattern whose utility exceeds the user-specified threshold, but does not further explore the correlation between different patterns.
Yong Zhang +4 more
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2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT), 2018
’Data mining’ itself explains that it is the mining of data from large reserve of data generated every day. Business uses data mining to make important decisions to increase their revenue, increase the potential customer base, reduce costs etc. In the retail industry, useful pattern discovery is essential out of huge amount of data is generated ...
Ashmita Saha, Vaishali D. Khairnar
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’Data mining’ itself explains that it is the mining of data from large reserve of data generated every day. Business uses data mining to make important decisions to increase their revenue, increase the potential customer base, reduce costs etc. In the retail industry, useful pattern discovery is essential out of huge amount of data is generated ...
Ashmita Saha, Vaishali D. Khairnar
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Mining Skyline Frequent-Utility Itemsets with Utility Filtering
2021Skyline frequent-utility itemsets (SFUIs) can provide more actionable information for decision-making with both frequency and utility considered. In this paper, the problem of mining SFUIs by filtering utilities from different perspectives is studied. First, filtering by frequency is considered.
Wei Song 0004 +2 more
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