Companion code and experiment to the paper Towards logical association rule mining on ontology-based semantic trajectories accepted to ICMLA 2020.
-
Updated
May 3, 2024 - Jupyter Notebook
#
trajectory-mining
Here are 4 public repositories matching this topic...
Codes of two papers which are accepted by KBS'19 and Information Sciences' 20.
-
Updated
Oct 1, 2018 - MATLAB
A multi-agent statistical discriminative sub-trajectory mining technique for analyzing the trajectories of multiple agents using SportVU player tracking data from the 2015/16 season.
sports
basketball
multi-agent
trajectory-analysis
sports-stats
sport
sportsanalytics
sportvu-movement-data
sports-data
sports-analytics
trajectory-mining
sportvu
-
Updated
Oct 18, 2023 - Python
Progetto realizzato per il corso "Modelli e tecniche per i Big Data"
-
Updated
Apr 14, 2022 - Scala
Improve this page
Add a description, image, and links to the trajectory-mining topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the trajectory-mining topic, visit your repo's landing page and select "manage topics."