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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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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Mining sequential patterns by pattern-growth: the PrefixSpan approach
IEEE Transactions on Knowledge and Data Engineering, 2004 Jian Pei, Jianyong Wang, Jiawei Han
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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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Sequential Patterns in Social Interaction States for Regulation in Collaborative Learning
Small Group Research, 2022 This study explored sequential patterns in social interaction states for group-level regulation of learning during collaborative learning. The participants were secondary school students (N = 92) performing collaborative physics tasks.
Eija Vuorenmaa +3 more
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TKUS: Mining Top-K High-Utility Sequential Patterns [PDF]
Information Sciences, 2020 High-utility sequential pattern mining (HUSPM) has recently emerged as a focus of intense research interest. The main task of HUSPM is to find all subsequences, within a quantitative sequential database, that have high utility with respect to a user ...
Chun-Kai Zhang +3 more
semanticscholar +1 more source
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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