%0 Conference Paper %1 conf/gecco/JacquesTDJD13 %A Jacques, Julie %A Taillard, Julien %A Delerue, David %A Jourdan, Laetitia %A Dhaenens, Clarisse %B GECCO %D 2013 %E Blum, Christian %E Alba, Enrique %I ACM %K %P 543-550 %T The benefits of using multi-objectivization for mining pittsburgh partial classification rules in imbalanced and discrete data. %U http://dblp.uni-trier.de/db/conf/gecco/gecco2013.html#JacquesTDJD13 %@ 978-1-4503-1963-8

@inproceedings{conf/gecco/JacquesTDJD13, added-at = {2023-12-13T01:17:49.000+0100}, author = {Jacques, Julie and Taillard, Julien and Delerue, David and Jourdan, Laetitia and Dhaenens, Clarisse}, biburl = {https://www.bibsonomy.org/bibtex/287eb4a501f4ed715f4aa1164a62621ea/admin}, booktitle = {GECCO}, crossref = {conf/gecco/2013}, editor = {Blum, Christian and Alba, Enrique}, ee = {https://www.wikidata.org/entity/Q56920570}, interhash = {6f851609e387e6e4daa1124a772ae0c7}, intrahash = {87eb4a501f4ed715f4aa1164a62621ea}, isbn = {978-1-4503-1963-8}, keywords = {}, pages = {543-550}, publisher = {ACM}, timestamp = {2023-12-13T01:17:49.000+0100}, title = {The benefits of using multi-objectivization for mining pittsburgh partial classification rules in imbalanced and discrete data.}, url = {http://dblp.uni-trier.de/db/conf/gecco/gecco2013.html#JacquesTDJD13}, year = 2013 }