This release is a pre-release and may not be stable for production use.
MAT-summarization: Summarization Methods for Multiple Aspect Trajectory Data Mining [MAT-Tools Framework]
[Publication] [citation.bib] [GitHub] [PyPi]
The present application offers a tool, to support the user in the data mining task of multiple aspect trajectories, specifically for summarizing its complex data. It integrates into a unique platform the fragmented approaches available for multiple aspects trajectories and in general for multidimensional sequence classification into a unique web-based and python library system.
Created on Apr, 2024 Copyright (C) 2024, License GPL Version 3 or superior (see LICENSE file)
Main Modules
Installation
Install directly from PyPi repository, or, download from github. (python >= 3.7 required)
pip install matsummarization
Citing
If you use summarization please cite the following paper:
Tarlis Tortelli Portela; Jonata Tyska Carvalho; Vania Bogorny. HiPerMovelets: high-performance movelet extraction for trajectory classification, International Journal of Geographical Information Science, 2022. DOI: 10.1080/13658816.2021.2018593.
@article{Portela2022,
author = {Tarlis Tortelli Portela and Jonata Tyska Carvalho and Vania Bogorny},
title = {HiPerMovelets: high-performance movelet extraction for trajectory classification},
journal = {International Journal of Geographical Information Science},
volume = {0},
number = {0},
pages = {1-25},
year = {2022},
publisher = {Taylor & Francis},
doi = {10.1080/13658816.2021.2018593},
URL = {https://doi.org/10.1080/13658816.2021.2018593}
}
Collaborate with us
Any contribution is welcome. This is an active project and if you would like to include your algorithm in matsummarization, feel free to fork the project, open an issue and contact us.
Feel free to contribute in any form, such as scientific publications referencing matsummarization, 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
And others:
Change Log
This is a package under construction, see CHANGELOG.md
Metadata
Release files for mat-summarization 0.1b0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
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| mat-summarization-0.1b0.tar.gz | 30.1 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mat_summarization-0.1b0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 59.1 kB
Release files / mat-summarization-0.1b0.tar.gz
| Download URL | mat-summarization-0.1b0.tar.gz |
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| Size | 30.1 kB |
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|---|---|
| Size | 29.0 kB |
| Tags | Python 3 |
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