Jan 9, 2018 · A distinguishing subsequence pattern is a pattern whose support in a positive database is greater than the positive support threshold, whereas ...
In this paper, we focus on the number of nonoverlapping occurrences that effectively reduce the number of irrelevant or redundant occurrences, and in this way, ...
In this paper, we focus on the number of nonoverlapping occurrences that effectively reduce the number of irrelevant or redundant occurrences, and in this way, ...
Distinguishing subsequence patterns mining aims to discover the differences between different categories of sequence databases and to express ...
Discovering contrasts between collections of data is an impor- tant task in data mining. In this paper, we introduce a new type of contrast pattern, called ...
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Oct 22, 2021 · This article proposes a task called nonoverlapping three-way sequential pattern (NTP) mining, where attributes are categorized according to three levels of ...
Apr 24, 2023 · Sequential pattern mining (SPM) has excellent prospects and application spaces and has been widely used in different fields.
Jun 2, 2024 · Nonoverlapping sequential pattern mining (SPM) is a type of SPM with gap constraints that can mine valuable information in sequences. One of the ...
Jan 26, 2024 · Abstract Mining frequent patterns with periodic wildcard gaps is a critical data mining problem to deal with complex real-world problems.
Abstract—Sequence pattern mining aims to discover frequent subsequences as patterns in a single sequence or a sequence database.