This release is a pre-release and may not be stable for production use.
MAT-model: Model Classes for Multiple Aspect Trajectory Data Mining [MAT-Tools Framework]
[Publication] [Bibtex] [GitHub] [PyPi]
The present package offers a tool, to support the user in the task of modeling multiple aspect trajectories. It integrates into a unique framework for multiple aspects trajectories and in general for multidimensional sequence data mining methods.
Created on Apr, 2024 Copyright (C) 2023, License GPL Version 3 or superior (see LICENSE file)
Installation
Install directly from PyPi repository, or, download from github. (python >= 3.7 required)
pip install mat-model
Getting Started
On how to use this package, see MAT-model-Tutorial.ipynb
Citing
If you use mat-model please cite the following paper:
- Portela, T. T.; Machado, V. L.; Renso, C. Unified Approach to Trajectory Data Mining and Multi-Aspect Trajectory Analysis with MAT-Tools Framework. In: SIMPÓSIO BRASILEIRO DE BANCO DE DADOS (SBBD), 39. , 2024, Florianópolis/SC. [Bibtex]
Collaborate with us
Any contribution is welcome. This is an active project and if you would like to include your code, feel free to fork the project, open an issue and contact us.
Feel free to contribute in any form, such as scientific publications referencing this package, teaching material and workshop videos.
Related packages
This package is part of MAT-Tools Framework for Multiple Aspect Trajectory Data Mining, check the guide project:
- mat-tools: Reference guide for MAT-Tools Framework repositories
Change Log
This is a package under construction, see CHANGELOG.md
1 maintainer
Metadata
1 maintainer
Release files for mat-model 0.2b1
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Total release size: 3.3 MB
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