Results 1 to 10 of about 13,166 (114)
Status Set Sequential Pattern Mining Considering Time Windows and Periodic Analysis of Patterns [PDF]
Entropy, 2021 The traditional sequential pattern mining method is carried out considering the whole time period and often ignores the sequential patterns that only occur in local time windows, as well as possible periodicity.
Shenghan Zhou +7 more
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A node linkage approach for sequential pattern mining. [PDF]
PLoS ONE, 2014 Sequential Pattern Mining is a widely addressed problem in data mining, with applications such as analyzing Web usage, examining purchase behavior, and text mining, among others.
Osvaldo Navarro +4 more
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Location-Based Parallel Sequential Pattern Mining Algorithm
IEEE Access, 2019 Given a data sequence, sequential pattern mining, which finds frequent sequence patterns among them, is an important data mining problem. However, in the existing sequential pattern mining, only the purchase order of the items is considered, and the ...
Byoungwook Kim, Gangman Yi
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NetNCSP: Nonoverlapping closed sequential pattern mining. [PDF]
Knowl Based Syst, 2020 Wu Y, Zhu C, Li Y, Guo L, Wu X.
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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 MDL-based Pattern Mining Algorithm for Log Sequences [PDF]
Jisuanji gongcheng, 2021 Logs contain rich information about procedural events generated in Internet systems,and the mining of high-quality sequence modes from log data can improve the efficiency of system operation and maintenance. To address the problem of redundant results of
DU Shiqing, WANG Peng, WANG Wei
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A review on big data based parallel and distributed approaches of pattern mining
Journal of King Saud University: Computer and Information Sciences, 2022 Pattern mining is a fundamental technique of data mining to discover interesting correlations in the data set. There are several variations of pattern mining, such as frequent itemset mining, sequence mining, and high utility itemset mining. High utility
Sunil Kumar, Krishna Kumar Mohbey
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Survey on Sequential Pattern Mining based on User - Constraints
Tạp chí Phát triển và Hội nhập, 2023 Sequence data mining, also known as sequential pattern mining, is to find all frequent sub-sequences (called sequential patterns) in a sequence database, the threshold of frequency is specified by the user.
Trang Thien Thi Van
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IEEE Access, 2022 The field of data mining is progressing rapidly presenting researchers with many opportunities for research. Sequential pattern mining is a popular and long established technique in data mining which extracts data in the form of sequential patterns ...
Ritika, Sunil Kumar Gupta
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Mining actionable combined high utility incremental and associated sequential patterns.
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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