# MAT-data: Data Preprocessing for Multiple Aspect Trajectory Data Mining \[MAT-Tools Framework\]
---
\[[Publication](#)\] \[[Bibtex](https://github.com/mat-analysis/mat-tools/blob/main/references/mat-tools.bib)\] \[[GitHub](https://github.com/mat-analysis/mat-data)\] \[[PyPi](https://pypi.org/project/mat-data/)\] \[[Docs](https://mat-analysis.github.io/mat-tools/)\]
The present package offers a tool, to support the user in the task of **data preprocessing** of multiple aspect trajectories, or to **generating synthetic datasets**. It integrates into a unique framework for multiple aspects trajectories and in general for multidimensional sequence data mining methods.
Created on Dec, 2023
Copyright (C) 2023, License GPL Version 3 or superior (see LICENSE file)
### Main Modules
- [proprocess](/proprocess.py): Methods for trajectory preprocessing;
- [generator](/generator.py): Methods for trajectory datasets generation;
- [dataset](/dataset.py): Methods for loading trajectory datasets;
- [converter](/converter.py): Methods for conferting dataset formats.
### Installation
Install directly from PyPi repository, or, download from github. (python >= 3.7 required)
```bash
pip install mat-data
```
### Getting Started
On how to use this package, see [MAT-data-Tutorial.ipynb](https://github.com/ttportela/mat-data/blob/main/MAT-data-Tutorial.ipynb)
### Citing
If you use `mat-data` 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. \[[Bibtex](https://github.com/mat-analysis/mat-tools/blob/main/references/mat-tools.bib)\]
### 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](https://github.com/mat-analysis/mat-tools)**: Reference guide for MAT-Tools Framework repositories
### Change Log
This is a package under construction, see [CHANGELOG.md](https://github.com/mat-analysis/mat-data/blob/main/CHANGELOG.md)
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"description": "# MAT-data: Data Preprocessing for Multiple Aspect Trajectory Data Mining \\[MAT-Tools Framework\\]\n---\n\n\\[[Publication](#)\\] \\[[Bibtex](https://github.com/mat-analysis/mat-tools/blob/main/references/mat-tools.bib)\\] \\[[GitHub](https://github.com/mat-analysis/mat-data)\\] \\[[PyPi](https://pypi.org/project/mat-data/)\\] \\[[Docs](https://mat-analysis.github.io/mat-tools/)\\]\n\n\n\nThe present package offers a tool, to support the user in the task of **data preprocessing** of multiple aspect trajectories, or to **generating synthetic datasets**. It integrates into a unique framework for multiple aspects trajectories and in general for multidimensional sequence data mining methods.\n\nCreated on Dec, 2023\nCopyright (C) 2023, License GPL Version 3 or superior (see LICENSE file)\n\n### Main Modules\n\n- [proprocess](/proprocess.py): Methods for trajectory preprocessing;\n- [generator](/generator.py): Methods for trajectory datasets generation;\n- [dataset](/dataset.py): Methods for loading trajectory datasets;\n- [converter](/converter.py): Methods for conferting dataset formats.\n\n\n### Installation\n\nInstall directly from PyPi repository, or, download from github. (python >= 3.7 required)\n\n```bash\n pip install mat-data\n```\n\n### Getting Started\n\nOn how to use this package, see [MAT-data-Tutorial.ipynb](https://github.com/ttportela/mat-data/blob/main/MAT-data-Tutorial.ipynb)\n\n### Citing\n\nIf you use `mat-data` please cite the following paper:\n\n - Portela, T. T.; Machado, V. L.; Renso, C. Unified Approach to Trajectory Data Mining and Multi-Aspect Trajectory Analysis with MAT-Tools Framework. In: SIMP\u00d3SIO BRASILEIRO DE BANCO DE DADOS (SBBD), 39. , 2024, Florian\u00f3polis/SC. \\[[Bibtex](https://github.com/mat-analysis/mat-tools/blob/main/references/mat-tools.bib)\\]\n\n### Collaborate with us\n\nAny 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.\n\nFeel free to contribute in any form, such as scientific publications referencing this package, teaching material and workshop videos.\n\n### Related packages\n\nThis package is part of _MAT-Tools Framework_ for Multiple Aspect Trajectory Data Mining, check the guide project:\n\n- **[mat-tools](https://github.com/mat-analysis/mat-tools)**: Reference guide for MAT-Tools Framework repositories\n\n### Change Log\n\nThis is a package under construction, see [CHANGELOG.md](https://github.com/mat-analysis/mat-data/blob/main/CHANGELOG.md)\n",
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