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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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Learning Sequential Patterns for Lipreading [PDF]
Procedings of the British Machine Vision Conference 2011, 2011 This paper proposes a novel machine learning algorithm (SP-Boosting) to tackle the problem of lipreading by building visual sequence classifiers based on sequential patterns. We show that an exhaustive search of optimal sequential patterns is not possible due to the immense search space, and tackle this with a novel, efficient tree-search method with a
Eng-Jon Ong, Richard Bowden
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Using Data Mining Methods for Predicting Sequential Maintenance Activities
Applied Sciences, 2018 A data mining approach is integrated in this work for predictive sequential maintenance along with information on spare parts based on the history of the maintenance data.
Sadok Rezig, Zied Achour, Nidhal Rezg
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Discovering Sequential Source Code Patterns in Software Engineering
Düzce Üniversitesi Bilim ve Teknoloji Dergisi, 2022 Discovering sequential patterns in source codes is an important issue in software engineering since it can provide useful knowledge to help in a variety of tasks such as code completion, code refactoring, developer profiling, and code complexity ...
Dilara Kırnapcı, Kökten Birant
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Frontiers in Psychology, 2019 Adult assessments have evolved to keep pace with the changing nature of adult literacy and learning demands. As the importance of information and communication technologies (ICT) continues to grow, measures of ICT literacy skills, digital reading, and ...
Dandan Liao, Qiwei He, Hong Jiao
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Dramatically Reducing Search for High Utility Sequential Patterns by Maintaining Candidate Lists
Information, 2020 A ubiquitous challenge throughout all areas of data mining, particularly in the mining of frequent patterns in large databases, is centered on the necessity to reduce the time and space required to perform the search.
Scott Buffett
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Semantics of Negative Sequential Patterns
, 2020 In the field of pattern mining, a negative sequential pattern is specified by means of a sequence consisting of events to occur and of other events, called negative events, to be absent. For instance, containment of the pattern $\langle a\ \neg b\ c\rangle$ arises with an occurrence of a and a subsequent occurrence of c but no occurrence of b in ...
Guyet, Thomas, Besnard, Philippe
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Dichotomic Pattern Mining Integrated With Constraint Reasoning for Digital Behavior Analysis
Frontiers in Artificial Intelligence, 2022 Sequential pattern mining remains a challenging task due to the large number of redundant candidate patterns and the exponential search space. In addition, further analysis is still required to map extracted patterns to different outcomes. In this paper,
Sohom Ghosh +5 more
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Contextual Sequential Pattern Mining [PDF]
2010 IEEE International Conference on Data Mining Workshops, 2010 Traditional sequential patterns do not take into account additional contextual information since patterns extracted from data are usually general. By considering the fact that a pattern is associated with one specific context the decision expert can then adapt his strategy considering the type of customers. In this paper we propose to mine more precise
Rabatel, Julien +2 more
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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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