Description
To enable repeatability of experiments, this collection of files contains the source code for all methods presented in the following paper:
O.Kostakis, N.Tatti, A.Gionis, 'Discovering recurring activity in temporal networks', Data Mining and Knowledge Discovery, 2017.
The methods are implemented in Java. To compile and build the code, we propose importing the files into Eclipse.
Datasets are also available here: https://doi.org/10.5281/zenodo.160509
Disclaimer:
The code is provided as is, with no guarantee.
The title and description of this software correspond with the situation when the software metadata was imported to ACRIS. The most recent version of metadata is available in the original repository.
O.Kostakis, N.Tatti, A.Gionis, 'Discovering recurring activity in temporal networks', Data Mining and Knowledge Discovery, 2017.
The methods are implemented in Java. To compile and build the code, we propose importing the files into Eclipse.
Datasets are also available here: https://doi.org/10.5281/zenodo.160509
Disclaimer:
The code is provided as is, with no guarantee.
The title and description of this software correspond with the situation when the software metadata was imported to ACRIS. The most recent version of metadata is available in the original repository.
| Date made available | 17 Mar 2017 |
|---|---|
| Publisher | Zenodo |
Dataset Licences
- CC-BY-4.0
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