Mining actionable combined high utility incremental and associated sequential patterns. [PDF]
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
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Surprising and novel multivariate sequential patterns using odds ratio for temporal evolution in healthcare [PDF]
BMC Medical Informatics and Decision MakingBackground Pattern mining techniques are helpful tools when extracting new knowledge in real practice, but the overwhelming number of patterns is still a limiting factor in the health-care domain.
Isidoro J. Casanova +6 more
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Mining Sequential Patterns with VC-Dimension and Rademacher Complexity
Algorithms, 2020 Sequential pattern mining is a fundamental data mining task with application in several domains. We study two variants of this task—the first is the extraction of frequent sequential patterns, whose frequency in a dataset of sequential transactions is ...
Diego Santoro +2 more
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Visualization of Generic Utility of Sequential Patterns [PDF]
IEEE Access, 2020 Most of the literature on utility pattern mining (UPM) assumes that the particular patterns' utility in known in advance. Concurrently, in frequent pattern mining (FPM) it is assumed that all patterns take the same value.
Tomasz Wiktorski +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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Detecting the Behaviour of COVID-19 Based On Parallel Approach of Sequential Rule Mining Algorithm [PDF]
IJCI International Journal of Computers and Information, 2022 The COVID-19 (Coronavirus) is a catastrophic disease, as it causes a global health crisis. Due to the nature of COVID-19, it spreads quickly among humans and infects millions of people within a few periods in the world.
Nesma Youssef +2 more
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Independent Exact Permutation Testing Algorithm for Distinguishing Sequential Pattern Discovery [PDF]
Jisuanji gongcheng, 2021 Traditional distinguishing sequential pattern mining algorithms usually generate a number of false positive patterns in their results, which hinder the subsequent decisions of tasks.
WU Jun, OUYANG Aijia, ZHANG Lin
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Mining Interesting Negative Sequential Patterns Based on Influence
IEEE Access, 2023 Negative sequential pattern (NSP) mining can capture frequently occurring and non-occurring behavior information and can play an irreplaceable role in many applications.
Fengling Cui +2 more
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Mining Negative Sequential Patterns with Periodic Gap Constraints [PDF]
Jisuanji kexue, 2023 Sequential pattern mining with gap constraints is a special form of sequential pattern mining,which can reveal frequent subsequences in a certain gap.However,the current sequential pattern mining methods with gap constraints only focus on positive ...
WANG Zhulin, WU Youxi, WANG Yuehua, LIU Jingyu
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A Survey of Sequential Pattern Based E-Commerce Recommendation Systems
Algorithms, 2023 E-commerce recommendation systems usually deal with massive customer sequential databases, such as historical purchase or click stream sequences. Recommendation systems’ accuracy can be improved if complex sequential patterns of user purchase behavior ...
Christie I. Ezeife, Hemni Karlapalepu
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