A Clustering-based Approach to Detect Probable Outcomes of Lawsuits.
Daniel Lemes Gribel|Maíra Gatti de Bayser|Leonardo Guerreiro Azevedo
| Anthology ID: | DBLP:conf/cikm/GribelBA15 |
|---|---|
| Volume: | Proceedings of the 24th ACM International Conference on Information and Knowledge Management, CIKM 2015, Melbourne, VIC, Australia, October 19 - 23, 2015 |
| Year: | 2015 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 1831-1834 |
| URL: | https://doi.org/10.1145/2806416.2806640 |
| DOI: | https://doi.org/10.1145/2806416.2806640 |
| DBLP: | conf/cikm/GribelBA15 |
| BibTeX: |
@inproceedings{gribel-2015-clusteringbased,
author = {Daniel Lemes Gribel and
Ma\'{i}ra Gatti de Bayser and
Leonardo Guerreiro Azevedo},
editor = {James Bailey and
Alistair Moffat and
Charu C. Aggarwal and
Maarten de Rijke and
Ravi Kumar and
Vanessa Murdock and
Timos K. Sellis and
Jeffrey Xu Yu},
title = {{A Clustering-based Approach to Detect Probable Outcomes of Lawsuits}},
booktitle = {{Proceedings of the 24th ACM International Conference on Information and Knowledge Management, CIKM 2015, Melbourne, VIC, Australia, October 19 - 23, 2015}},
pages = {1831--1834},
publisher = {ACM},
year = {2015},
url = {https://doi.org/10.1145/2806416.2806640},
doi = {https://doi.org/10.1145/2806416.2806640}
}