Where Do We Go From Here? Location Prediction from Time-Evolving Markov Models-Reference-Cited by-同舟云学术

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Where Do We Go From Here? Location Prediction from Time-Evolving Markov Models

Published:2024-04-08 Issue: Volume:3 Page:365-367
ISSN:
Container-title:Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing
language:
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Author:

Andrade Thiago¹²^ORCID,Gama Joao¹³^ORCID

Affiliation:

1. Laboratory of Artificial Intelligence and Decision Support (LIAAD), Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência - INESC TEC, Porto, Portugal

2. Faculty of Sciences, University of Porto, Porto, Portugal

3. Faculty of Economics, University of Porto, Porto, Portugal

Funder

Foundation for Science and Technology

European Regional Development Fund

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3605098.3636088

Reference12 articles.

1. Discovering locations and habits from human mobility data

2. Which Way to Go - Finding Frequent Trajectories Through Clustering

3. Thiago Andrade, Nirbhaya Shaji, Rita P. Ribeiro, and João Gama. 2023. Pollution Emission Patterns of Transportation in Porto, Portugal Through Network Analysis. In Progress in Artificial Intelligence. Springer Nature Switzerland, 215--226.

4. Hung Hai Bui. 2003. A general model for online probabilistic plan recognition. In IJCAI, Vol. 3. Citeseer, 1309--1315.

5. Joao Gama, Raquel Sebastiao, and Pedro Pereira Rodrigues. 2013. On evaluating stream learning algorithms. Machine learning 90 (2013), 317--346.

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