Opportunistic mining of top-n high utility patterns
Information Sciences, 2018 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Junqiang Liu +4 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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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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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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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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Mining compact high utility sequential patterns
, 2023 Nippon (Japan) Applied Informatics Society ...
Dinh, Tai +2 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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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 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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