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
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Mining compact high utility sequential patterns
CoRR, 2023 Nippon (Japan) Applied Informatics Society ...
Tai Dinh +2 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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High-Utility Semantic Trajectory Pattern Mining for Security System [PDF]
Jisuanji gongcheng, 2023 In security systems，transforming a large number of collected target trajectories into semantic trajectories and mining their frequency patterns are helpful in analyzing target behavior patterns，identifying hazard sources，and enhancing internal prevention
FU Jiahao, YANG Jiayi, LI Aiguo
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Mining Top-k High Average-Utility Sequential Patterns for Resource Transformation
Applied Sciences, 2023 High-utility sequential pattern mining (HUSPM) helps researchers find all subsequences that have high utility in a quantitative sequential database. The HUSPM approach appears to be well suited for resource transformation in DIKWP graphs.
Kai Cao, Yucong Duan
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Efficient Approach for Damped Window-Based High Utility Pattern Mining With List Structure
IEEE Access, 2020 Traditional pattern mining is designed to handle binary database that assume all items in the database have same importance, there is a limitation to recognize accurate information from real-world databases using traditional method. To solve this problem,
Hyoju Nam +5 more
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Discovering Approximate and Significant High-Utility Patterns from Transactional Datasets
Journal of Mathematics, 2022 Mining high-utility pattern (HUP) on transactional datasets has been widely discussed, and various algorithms have been introduced to settle this problem. However, the time-space efficiency of the algorithms is still limited, and the mining system cannot
Huijun Tang +3 more
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Mining of high utility-probability sequential patterns from uncertain databases. [PDF]
PLoS ONE, 2017 High-utility sequential pattern mining (HUSPM) has become an important issue in the field of data mining. Several HUSPM algorithms have been designed to mine high-utility sequential patterns (HUPSPs).
Binbin Zhang +3 more
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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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A Data-Driven Approach for Twitter Hashtag Recommendation
IEEE Access, 2020 This paper addresses the hashtag recommendation problem using high average-utility pattern mining. We introduce a novel framework called PM-HRec (Pattern Mining for Hashtag Recommendation). It consists of two main stages.
Asma Belhadi +3 more
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