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A pattern growth-based sequential pattern mining algorithm called prefixSuffixSpan
Sequential pattern mining is an important data mining problem widely addressed by the data mining community, with a very large field of applications. The sequence pattern mining aims at extracting a set of attributes, shared across time among a large ...
Kenmogne Edith Belise +2 more
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Survey on Sequential Pattern Mining based on User - Constraints
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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Discovering Sequential Source Code Patterns in Software Engineering
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 ...
Kökten Birant, Dilara Kırnapcı
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Semantics of Negative Sequential Patterns
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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Dramatically Reducing Search for High Utility Sequential Patterns by Maintaining Candidate Lists
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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Contextual Sequential Pattern Mining [PDF]
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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Dichotomic Pattern Mining Integrated With Constraint Reasoning for Digital Behavior Analysis
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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A review on big data based parallel and distributed approaches of pattern mining
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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High average-utility sequential pattern mining based on uncertain databases
emergence and proliferation of the internet of things (IoT) devices have resulted in the generation of big and uncertain data due to the varied accuracy and decay of sensors and their different sensitivity ranges.
Zhang, Ji +4 more
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Using Data Mining Methods for Predicting Sequential Maintenance Activities
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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