Weightless neuro-symbolic GPS trajectory classification

Author:

Barbosa Raul,Cardoso Douglas O.,Carvalho DiegoORCID,França Felipe M.G.ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference41 articles.

1. Trajectory data mining: an overview;Zheng;ACM Trans. Intell. Syst. Technol.,2015

2. A survey on trajectory data mining: techniques and applications;Feng;IEEE Access,2016

3. Incorporating duration information for trajectory classification;Patel,2012

4. Inferring high-level behavior from low-level sensors;Patterson,2003

5. Learning transportation mode from raw GPS data for geographic applications on the web;Zheng,2008

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2. Analysis of road travel behaviour based on big trajectory data;IET Intelligent Transport Systems;2020-10-13

3. Process Mining Classification with a Weightless Neural Network;Industrial Engineering and Operations Management;2020

4. A Context-Aware Map Matching Method Based on Supported Degree;2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI);2019-08

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