Results 1 to 10 of about 873 (206)
A Survey of Correlated High Utility Pattern Mining [PDF]
IEEE Access, 2021 Pattern mining is an unsupervised data mining approach aims to find interesting patterns that can be used to support decision-making. High Utility Pattern Mining (HUPM) aims to extract patterns having high utility or importance which has broad ...
Rashad S. Almoqbily +2 more
doaj +5 more sources
HUOPM: High-Utility Occupancy Pattern Mining [PDF]
IEEE Transactions on Cybernetics, 2020 Accepted by IEEE Transactions on Cybernetics, 14 ...
Jerry Chun-Wei Lin +2 more
exaly +5 more sources
A Survey of Key Technologies for High Utility Patterns Mining [PDF]
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
doaj +3 more sources
An Efficient Approach for Mining Reliable High Utility Patterns [PDF]
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
doaj +2 more sources
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
doaj +1 more source
Hiding Periodic High-Utility Sequential Patterns
International Journal of Computational Intelligence Systems, 2017 The aim of mining High Utility Sequential Patterns (HUSPs) is to discover sequential patterns having a high utility (e.g. high profit) based on a user-specified minimum utility threshold. The existing algorithms for mining HUSPs are capable of discovering the complete set of all HUSPs. However, they usually generate a large number of patterns which may
Tai Dinh, Van-Nam Huynh, Bac Le
+10 more sources
Efficient Algorithm for High Utility Pattern Mining Based on Top-k [PDF]
Jisuanji gongcheng, 2019 Getting the high utility pattern through user-specified threshold is inefficient,and the result of mining may not satisfy user’s needs.Therefore,an efficient Top-k pattern mining algorithm based on EFIM algorithm is proposed.The number of high utility ...
ZHAO Linliu,LV Xin,TAO Feifei
doaj +1 more source
A New Algorithm for High Average-utility Itemset Mining [PDF]
Journal of Artificial Intelligence and Data Mining, 2019 High utility itemset mining (HUIM) is a new emerging field in data mining which has gained growing interest due to its various applications. The goal of this problem is to discover all itemsets whose utility exceeds minimum threshold.
A. Soltani, M. Soltani
doaj +1 more source
Mining compact high utility sequential patterns
CoRR, 2023 Nippon (Japan) Applied Informatics Society ...
Tai Dinh +2 more
openaire +3 more sources
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
doaj +1 more source