Results 1 to 10 of about 12,095 (160)
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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A taxonomy of sequential pattern mining algorithms [PDF]
ACM Computing Surveys, 2010 Owing to important applications such as mining web page traversal sequences, many algorithms have been introduced in the area of sequential pattern mining over the last decade, most of which have also been modified to support concise representations like closed, maximal, incremental or hierarchical sequences.
C I Ezeife
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A Survey of Parallel Sequential Pattern Mining [PDF]
ACM Transactions on Knowledge Discovery From Data, 2019 With the growing popularity of shared resources, large volumes of complex data of different types are collected automatically. Traditional data mining algorithms generally have problems and challenges including huge memory cost, low processing speed, and inadequate hard disk space.
Wensheng Gan +2 more
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NetNCSP: Nonoverlapping closed sequential pattern mining [PDF]
Knowledge-Based Systems, 2020 Youxi Wu, Xindong Wu
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Discovering sequential patterns and interrelations among multiple diseases in electronic medical records using cSPADE algorithm [PDF]
Archives of Public HealthBackground The intricate relationships between diseases are characterized by the sequence and temporal intervals of their onset, which are critical for understanding the essence of comorbidity and predicting disease progression.
He Ma +6 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 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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