Ensemble mobility predictor based on random forest and Markovian property using LBSN data

Ensemble mobility predictor based on random forest and Markovian property using LBSN data

Abstract The ubiquitous connectivity of Location-Based Systems (LBS) allows people to share individual location-related data anytime. In this sense, Location-Based Social Networks (LBSN) provides valuable information to be available in large-scale and low-cost fashion via traditional data collection...

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Bibliographic Details
Main Authors: Felipe Araújo, Fábio Araújo, Kássio Machado, Denis Rosário, Eduardo Cerqueira, Leandro A. Villas
Format: Article
Language:English
Published: SpringerOpen 2020-11-01
Series:Journal of Internet Services and Applications
Subjects:
Mobility prediction
Ensemble learning
Location-based social network
Online Access:http://link.springer.com/article/10.1186/s13174-020-00130-7

Internet

http://link.springer.com/article/10.1186/s13174-020-00130-7

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