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

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