Efficient Frequent Chronicle Mining Algorithms: Application to Sleep Disorder

Efficient Frequent Chronicle Mining Algorithms: Application to Sleep Disorder

Sequential pattern mining is a dynamic and thriving research field that aims to extract recurring sequences of events from complex datasets. Traditionally, focusing solely on the order of events often falls short of providing precise insights. Consequently, incorporating the temporal intervals betwe...

Full description

Bibliographic Details
Main Authors: Hareth Zmezm, Jose Maria Luna, Eduardo Almeda, Sebastian Ventura
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Frequent event graphs
chronicle mining
sequence mining
temporal data mining
sleep disorder
Online Access:https://ieeexplore.ieee.org/document/10411901/

Internet

https://ieeexplore.ieee.org/document/10411901/

Similar Items