An Efficient Approach for Mining Reliable High Utility Patterns
IEEE Access, 2022 Utility mining is one of the most thriving research topics with a wide range of real-world applications. High utility pattern mining uses a utility function to extract all desired patterns that exceed a minimum utility threshold.
Mohammed A. Fouad +4 more
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A Survey of Key Technologies for High Utility Patterns Mining
IEEE Access, 2020 Recently, high utility pattern mining (HUPM) is one of the most important research issues in data mining. Because it can consider the non-binary frequency values of items in a transaction and the different profit values of each item.
Chunyan Zhang +4 more
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Efficient Method for Mining High Utility Occupancy Patterns Based on Indexed List Structure
IEEE Access, 2023 High utility pattern mining has been proposed to improve the traditional support-based pattern mining methods that process binary databases. High utility patterns are discovered by effectively considering the quantity and importance of items.
Hyeonmo Kim +6 more
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Efficient High Utility Negative Sequential Patterns Mining in Smart Campus
IEEE Access, 2018 High utility sequential patterns (HUSP) mining has been playing more and more important role in many applications, such as data analysis and smart campus.
Tiantian Xu, Tongxuan Li, Xiangjun Dong
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Synthesizing High-Utility Patterns from Different Data Sources
Data, 2018 In large organizations, it is often required to collect data from the different geographic branches spread over different locations. Extensive amounts of data may be gathered at the centralized location in order to generate interesting patterns via mono ...
Abhinav Muley, Manish Gudadhe
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TUB-HAUPM: Tighter Upper Bound for Mining High Average-Utility Patterns
IEEE Access, 2018 High-utility itemset mining (HUIM) has been gaining popularity in the field of data mining. Frequent itemset mining used to be the main tool to reveal high-frequency patterns but failed to consider the concept of profit.
Jimmy Ming-Tai Wu +3 more
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Incrementally Updating the Discovered High Average-Utility Patterns With the Pre-Large Concept
IEEE Access, 2020 High average-utility itemset mining (HAUIM) is an extension of high-utility itemset mining (HUIM), which provides a reliable measure to reveal utility patterns by considering the length of the mined pattern.
Jimmy Ming-Tai Wu +3 more
doaj +3 more sources
Mining actionable combined high utility incremental and associated sequential patterns.
PLoS ONE, 2023 High utility sequential pattern (HUSP) mining aims to mine actionable patterns with high utilities, widely applied in real-world learning scenarios such as market basket analysis, scenic route planning and click-stream analysis.
Min Shi +3 more
doaj +2 more sources
Mining Statistically Significant Patterns with High Utility
International Journal of Computational Intelligence Systems, 2022 Statistically significant pattern mining (SSPM) is to mine patterns with significance based on hypothesis test. Under the constraint of statistical significance, our study aims to introduce a new preference relation into high utility patterns and to ...
Huijun Tang +3 more
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Efficient Utility Tree-Based Algorithm to Mine High Utility Patterns Having Strong Correlation
Complexity, 2021 High Utility Itemset Mining (HUIM) is one of the most investigated tasks of data mining. It has broad applications in domains such as product recommendation, market basket analysis, e-learning, text mining, bioinformatics, and web click stream analysis ...
Rashad Saeed +3 more
doaj +1 more source