MAT-tools: Python Framework for Multiple Aspect Trajectory Data Mining
The present project is an umbrella project for MAT-tools Framework. The following projects are created as tools to support the user in the data mining of multiple aspect trajectories, specifically for classification, summarization, clustering, extracting and visualizing the movelets (the parts of the trajectory that better discriminate a class label). 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.
| Package | Description |
|---|---|
| mat-model | Dependency package for model classes and data structures for MAT. |
| mat-data | Preprocessing and dataset generation tools for MAT data |
| mat-view | Web-interface and library tools for MAT and movelets visualization |
| mat-classification | MAT classification methods (movelet-based or otherwise). |
| mat-similarity | MAT similarity methods. |
| mat-summarization | MAT summarization methods. |
| automatize | DEPRECATED Package for experimental evaluation of MAT classification and Web-interface for MAT analysis |