<italic>k</italic>-PFPMiner: Top-k Periodic Frequent Patterns in Big Temporal Databases

<italic>k</italic>-PFPMiner: Top-k Periodic Frequent Patterns in Big Temporal Databases

Finding periodic-frequent patterns in temporal databases is a prominent data mining problem with bountiful applications. It involves discovering all patterns in a database that satisfy the user-specified minimum support (<inline-formula> <tex-math notation="LaTeX">$min{\_{}}sup...

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Bibliographic Details
Main Authors: Palla Likhitha, Penugonda Ravikumar, Deepika Saxena, Rage Uday Kiran, Yutaka Watanobe
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Data mining
pattern mining
temporal databases
top-k
periodic-frequent patterns
Online Access:https://ieeexplore.ieee.org/document/10287969/

Internet

https://ieeexplore.ieee.org/document/10287969/

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