Multiscale Fuzzy Temporal Pattern Mining: A Block-Decomposition Algorithm for Partial Periodic Associations in Event Data

Multiscale Fuzzy Temporal Pattern Mining: A Block-Decomposition Algorithm for Partial Periodic Associations in Event Data

This paper introduces a dual-strategy model based on temporal transformation and fuzzy theory, and designs a partitioned mining algorithm for periodic frequent patterns in large-scale event data (3P-TFT). The model reconstructs original event data through temporal reorganization and attribute fuzzif...

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Bibliographic Details
Main Authors: Aihua Zhu, Haote Zhang, Xingqian Chen, Dingkun Zhu
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Mathematics
Subjects:
temporal data mining
fuzzy temporal association rules
periodic frequent patterns
distributed mining
Online Access:https://www.mdpi.com/2227-7390/13/8/1349
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