Machine Learning Method for Changepoint Detection in Short Time Series Data

Machine Learning Method for Changepoint Detection in Short Time Series Data

Analysis of data is crucial in waste management to improve effective planning from both short- and long-term perspectives. Real-world data often presents anomalies, but in the waste management sector, anomaly detection is seldom performed. The main goal and contribution of this paper is a proposal o...

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Bibliographic Details
Main Authors: Veronika Smejkalová, Radovan Šomplák, Martin Rosecký, Kristína Šramková
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Machine Learning and Knowledge Extraction
Subjects:
machine learning for time series
waste generation
short time series
anomaly detection
outlier
changepoint
Online Access:https://www.mdpi.com/2504-4990/5/4/71

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