A Novel Depth-First Search Algorithm for Partial Periodic-Frequent Pattern Mining in Temporal Databases

A Novel Depth-First Search Algorithm for Partial Periodic-Frequent Pattern Mining in Temporal Databases

Partial periodic-frequent pattern mining is a critical technique in the data mining field. This technique finds all frequent patterns demonstrating partial periodicity within temporal datasets. Despite its potential, the broader industrial adoption of this technique has been limited due to two signi...

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Bibliographic Details
Main Authors: Pamalla Veena, Vanitha Kattumuri, Yutaka Watanobe, Rage Uday Kiran, So Nakamura, Palla Likhitha, Koji Zettsu
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Partial periodic-frequent patterns
data mining
temporal data
depth-first search
Online Access:https://ieeexplore.ieee.org/document/11045405/
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https://ieeexplore.ieee.org/document/11045405/

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