The Semantic Adjacency Criterion in Time Intervals Mining

The Semantic Adjacency Criterion in Time Intervals Mining

We propose a new pruning constraint when mining frequent temporal patterns to be used as classification and prediction features, the <i>Semantic Adjacency Criterion [SAC]</i>, which filters out temporal patterns that contain potentially semantically contradictory components, exploiting e...

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Bibliographic Details
Main Authors: Alexander Shknevsky, Yuval Shahar, Robert Moskovitch
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Big Data and Cognitive Computing
Subjects:
temporal data mining
machine learning
time intervals mining
semantics
frequent temporal pattern mining
classification
Online Access:https://www.mdpi.com/2504-2289/7/4/173

Internet

https://www.mdpi.com/2504-2289/7/4/173

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