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Mining Significant Utility Discriminative Patterns in Quantitative Databases
Mathematics, 2023 Drawing a discriminative pattern in quantitative datasets is often represented to return a high utility pattern (HUP). The traditional methods output patterns with a utility above a pre-given threshold.
Huijun Tang, Jufeng Wang, Le Wang
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Top ‘N’ Variant Random Forest Model for High Utility Itemsets Recommendation [PDF]
EAI Endorsed Transactions on Energy Web, 2021 High-utility based itemset mining is the advancement of recurrent pattern mining that discovers occurrence of frequent transactions from a huge database.
Pazhaniraja N +3 more
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Fuzzy high-utility pattern mining in parallel and distributed Hadoop framework [PDF]
, 2021 Over the past decade, high-utility itemset mining (HUIM) has received widespread attention that can emphasize more critical information than was previously possible using frequent itemset mining (FIM). Unfortunately, HUIM is very similar to FIM since the
Yun, Unil +4 more
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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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Closed High Utility Pattern Mining over Data Stream Based on Projection in the Window
Taiyuan Ligong Daxue xuebao, 2022 A fast and effective algorithm EFIM_Closed_DS was proposed to mine closed and high utility itemsets in the data stream environment. The algorithm is based on the projection technology in the window, and the database projection technology and transaction ...
Muhang LI +4 more
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Top-k Average Utility Co-location Pattern Mining of Fuzzy Features [PDF]
Jisuanji kexue yu tansuo, 2022 The spatial co-location pattern refers to a subset of non-empty spatial features whose instances are frequently located together in a spatial neighborhood.
LI Jinhong, WANG Lizhen, ZHOU Lihua
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High average-utility sequential pattern mining based on uncertain databases
, 2020 emergence and proliferation of the internet of things (IoT) devices have resulted in the generation of big and uncertain data due to the varied accuracy and decay of sensors and their different sensitivity ranges.
Zhang, Ji +4 more
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Modified GUIDE (LM) algorithm for mining maximal high utility patterns from data streams [PDF]
International Journal of Computational Intelligence Systems, 2015 High utility pattern mining is an emerging research topic in the data mining field. Unlike frequent pattern mining, high utility pattern mining deals with non-binary databases, in which the information about purchased quantities of items is maintained ...
Chiranjeevi Manike, Hari Om
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Incremental Mining of High Utility Patterns in One Phase by Absence and Legacy-Based Pruning
IEEE Access, 2019 Mining high utility patterns in dynamic databases is an important data mining task. While a naive approach is to mine a newly updated database in its entirety, the state-of-the-art mining algorithms all take an incremental approach. However, the existing
Junqiang Liu +5 more
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IEEE Access, 2021 Utility-pattern mining in data has received a lot of attention from the knowledge discovery in database (KDD) community due to its high potential for many applications such as finance, biomedicine, manufacturing, e-commerce, and social media.
Jerry Chun-Wei Lin +3 more
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