StreamPref is prototype of a Data Stream Management System (DSMS) with support to temporal conditional preferences.
StreamPref DSMS prototype (https://streampref.github.io/streampref/)
Dataset generator with simple preferences (https://streampref.github.io/prefgen/)
Dataset generator with temporal conditional preferences (https://streampref.github.io/streamprefgen/)
Tool for importing real data of 2014 Soccer World Cup (https://streampref.github.io/wcimport/)
Tool for importing real data of Yahoo Finance (https://streampref.github.io/yfimport/)
Ribeiro, M.R.; Barioni, M.C.N.; Amo, S.; Roncancio, C.; Labbé, C.: Finding Top-k Sequences over Data Streams According to Temporal Conditional Preferences. Brazilian Symposium on Databases (SBBD), 2018, Uberlândia, Brazil.
Ribeiro, M.R.; Barioni, M.C.N.; Amo, S.; Roncancio, C.; Labbé, C.: Incremental evaluation of continuous preference queries. Information Sciences. Volume 453, Pages 127-153, 2018.
Ribeiro, M.R.; Barioni, M.C.N.; Amo, S.; Roncancio, C.; Labbé, C.: Soccer2014DS: a dataset containing player events from the 2014 World Cup. Dataset Showcase Workshop (DSW). Brazilian Symposium on Databases (SBBD), 2017, Uberlândia, Brazil.
Ribeiro, M.R.; Barioni, M.C.N.; Amo, S.; Roncancio, C.; Labbé, C.: Temporal conditional preference queries on streams. International Conference on Database and Expert Systems Applications (DEXA), 2017, Lyon, France.
Ribeiro, M.R.; Barioni, M.C.N.; Amo, S.; Roncancio, C.; Labbé, C.: Reasoning with temporal preferences over data streams. The Florida Artificial Intelligence Research Society, 2017, Marco Island, Florida, USA.
Ribeiro, M.R.; Pereira, F.S.F.; and Dias, V.V.S.: Efficient algorithms for processing preference queries. ACM Symposium on Applied Computing (SAC), 2016, Pisa, Italy.
Pereira, F. S. F.; Amo, S.: Evaluation of conditional preference queries. Journal of Information and Data Management, Volume 1, Number 3, Pages 503-518, 2010.
Amo, S.; Ribeiro. M.R.: CPref-SQL: A Query Language Supporting Conditional Preferences. ACM Symposium on Applied Computing (SAC), 2009, Honolulu, Hawaii, USA.