Results 1 to 10 of about 298,473 (164)
Visualization of Generic Utility of Sequential Patterns [PDF]
IEEE Access, 2020 Most of the literature on utility pattern mining (UPM) assumes that the particular patterns' utility in known in advance. Concurrently, in frequent pattern mining (FPM) it is assumed that all patterns take the same value.
Tomasz Wiktorski +4 more
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A voting-based sequential pattern recognition method. [PDF]
PLoS ONE, 2013 We propose a novel method for recognizing sequential patterns such as motion trajectory of biological objects (i.e., cells, organelle, protein molecules, etc.), human behavior motion, and meteorological data. In the proposed method, a local classifier is
Koichi Ogawara +3 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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NetNCSP: Nonoverlapping closed sequential pattern mining [PDF]
Knowledge-Based Systems, 2020 Youxi Wu, Xindong Wu
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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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Mining Top-k High Average-Utility Sequential Patterns for Resource Transformation
Applied Sciences, 2023 High-utility sequential pattern mining (HUSPM) helps researchers find all subsequences that have high utility in a quantitative sequential database. The HUSPM approach appears to be well suited for resource transformation in DIKWP graphs.
Kai Cao, Yucong Duan
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 The classification of tree species through remote sensing data is of great significance to monitoring forest disturbances, biodiversity assessment, and carbon estimation.
Yanbiao Xi +5 more
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Mining Conjunctive Sequential Patterns [PDF]
Data Mining and Knowledge Discovery, 2008 In this paper we aim at extending the non-derivable condensed representation in frequent itemset mining to sequential pattern mining. We start by showing a negative example: in the context of frequent sequences, the notion of non-derivability is meaningless. Therefore, we extend our focus to the mining of conjunctions of sequences.
Chedy Raïssi +2 more
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An Efficient Method for Mining Top-
IEEE Access, 2020 The problem of exploiting Closed Sequential Patterns (CSPs) is an essential task in data mining, with many different applications. It is used to resolve the situations of huge databases or low minimum support (minsup) thresholds in mining sequential ...
Thi-Thiet Pham +4 more
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Educational Technology & Society, 2023 Blended learning (BL) is regarded as an effective strategy for combining traditional face-to-face classroom activities with various types of online learning tools (e.g., e-books). An effective feature of e-books is the ability to use digital notes.
Christopher C.Y. Yang, Hiroaki Ogata
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