A multi-valued and sequential-labeled decision tree method for recommending sequential patterns in cold-start situations
Sign Up to like & getrecommendations! Published in 2020 at "Applied Intelligence"
DOI: 10.1007/s10489-020-01806-0
Abstract: We plan to recommend some initial suitable single-itemed sequences like a flight itinerary based on a preference pattern in the form of personalized sequential pattern to each cold-start user. However, sequential pattern mining has never… read more here.
Keywords: pattern; cold start; multi valued; sequential pattern ... See more keywords
Tri-Partition State Alphabet-Based Sequential Pattern for Multivariate Time Series
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DOI: 10.1007/s12559-021-09871-4
Abstract: Recently, the advancement of cognitive computing and three-way decisions has enabled in-depth sequential pattern understanding through temporal association analysis. The main challenge is to obtain concise patterns that express richer semantics for multivariate time series… read more here.
Keywords: tri partition; multivariate time; tri; sequential pattern ... See more keywords
Location-Based Parallel Sequential Pattern Mining Algorithm
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DOI: 10.1109/access.2019.2939937
Abstract: 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… read more here.
Keywords: mining; pattern mining; sequential pattern; mining algorithm ... See more keywords
A Sequential Pattern Mining Approach to Tourist Movement: The Case of a Mega Event
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DOI: 10.1177/00472875221126433
Abstract: The movement of tourists has important economic and social implications for destination management. However, tracking and analyzing such movement can be a challenge both conceptually and methodologically. Using four different sequential pattern mining algorithms, this… read more here.
Keywords: sequential pattern; event; movement; pattern mining ... See more keywords
Supervised sequential pattern mining of event sequences in sport to identify important patterns of play: An application to rugby union
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DOI: 10.1371/journal.pone.0256329
Abstract: Given a set of sequences comprised of time-ordered events, sequential pattern mining is useful to identify frequent subsequences from different sequences or within the same sequence. However, in sport, these techniques cannot determine the importance… read more here.
Keywords: opposition; team; pattern mining; pattern ... See more keywords
PVTree: A Sequential Pattern Mining Method for Alignment Independent Phylogeny Reconstruction
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DOI: 10.3390/genes10020073
Abstract: Phylogenetic tree is essential to understand evolution and it is usually constructed through multiple sequence alignment, which suffers from heavy computational burdens and requires sophisticated parameter tuning. Recently, alignment free methods based on k-mer profiles… read more here.
Keywords: sequential pattern; pattern mining; alignment free; pvtree sequential ... See more keywords
Sequential Pattern Mining Algorithm Based on Text Data: Taking the Fault Text Records as an Example
Sign Up to like & getrecommendations! Published in 2018 at "Sustainability"
DOI: 10.3390/su10114330
Abstract: Sequential pattern mining (SPM) is an effective and important method for analyzing time series. This paper proposed a SPM algorithm to mine fault sequential patterns in text data. Because the structure of text data is… read more here.
Keywords: fault; pattern mining; fault text; text data ... See more keywords