%0 Journal Article %1 journals/candie/PaivaMCTD24 %A Paiva, Rafael G. N. %A Melo, Yan R. %A Cavalcante, Cristiano A. V. %A Tenório, Vinícius A. S. %A Do, Phuc %D 2024 %J Comput. Ind. Eng. %K dblp %P 110318 %T Developing data-driven O&M policy through sequential pattern mining: A case study. %U http://dblp.uni-trier.de/db/journals/candie/candie193.html#PaivaMCTD24 %V 193

@article{journals/candie/PaivaMCTD24, added-at = {2024-08-02T00:00:00.000+0200}, author = {Paiva, Rafael G. N. and Melo, Yan R. and Cavalcante, Cristiano A. V. and Tenório, Vinícius A. S. and Do, Phuc}, biburl = {https://www.bibsonomy.org/bibtex/2478cc5492f6cf87344a2ca789412ac52/dblp}, ee = {https://doi.org/10.1016/j.cie.2024.110318}, interhash = {ed7b3caad5d0ef0f6de96dff2d80648c}, intrahash = {478cc5492f6cf87344a2ca789412ac52}, journal = {Comput. Ind. Eng.}, keywords = {dblp}, pages = 110318, timestamp = {2024-08-05T07:13:26.000+0200}, title = {Developing data-driven O&M policy through sequential pattern mining: A case study.}, url = {http://dblp.uni-trier.de/db/journals/candie/candie193.html#PaivaMCTD24}, volume = 193, year = 2024 }