An Analysis of ML-Based Outlier Detection from Mobile Phone Trajectories

This paper provides an analysis of two machine learning algorithms, density-based spatial clustering of applications with noise (DBSCAN) and the local outlier factor (LOF), applied in the detection of outliers in the context of a continuous framework for the detection of <i>points of interest...

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Bibliographic Details
Main Authors: Francisco Melo Pereira, Rute C. Sofia
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Future Internet
Subjects:
Online Access:https://www.mdpi.com/1999-5903/15/1/4