Welcome to mat-view’s documentation!

MAT-view: Visualization Tools for Multiple Aspect Trajectory Data Mining [MAT-Tools Framework]

[Publication] [Bibtex] [GitHub] [PyPi]

The present application offers a set of web tools to support the user in the visualization of multiple-aspect trajectories and movelets (the parts of the trajectory that better discriminate a class). Also, present a detailed list of available datasets on a public repository, descriptions of MAT data mining methods, experimental results exploration, environmental and scripting generators. It integrates into a unique platform of the approaches available for multiple aspects trajectories and in general for multidimensional sequence classification into a unique web-based and python library system.

Created on Jun, 2024 Copyright (C) 2024, License GPL Version 3 or superior (see LICENSE file)

* This package docstrings are limited. But you can refer to the Demonstration Video for more information on how to use it.

Screenshots

Home

Results

Scripting

View

Installation

Install directly from PyPi repository, or, download from github. (python >= 3.7 required)

    pip install mat-view

Usage

This package enables a environment script to run the web application, just run:

    MAT-Web.py

By default Dash will run on http://127.0.0.1:8050/

* In case you have trouble loading any data into the page (or an action is not updating the page), refresh the site and try again.

Citing

If you use mat-view 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 algorithm in mat-view, feel free to fork the project, open an issue and contact us.

Feel free to contribute in any form, such as scientific publications referencing mat-view, teaching material and workshop videos.

Change Log

This is a package under construction, see CHANGELOG.md

Module contents

Framework Documentation:

Change Log

v0.1rc1 (17/05/2024)

  • First release