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} }