%0 Journal Article %1 Soto_Ferrari_2022 %A Soto-Ferrari, Milton %A Carrasco-Pena, Alejandro %A Prieto, Diana %D 2022 %I Informa UK Limited %J Journal of Business Analytics %K COVID-19 Deep Forecast Prediction Risk assessment learning myown %N 3 %P 217--242 %R 10.1080/2573234x.2022.2122881 %T AGGFORCLUS: A hybrid methodology integrating forecasting with clustering to assess mitigation plans and contagion risk in pandemic outbreaks: the COVID-19 Case Study %U https://doi.org/10.1080%2F2573234x.2022.2122881 %V 6

@article{Soto_Ferrari_2022, added-at = {2023-06-19T12:27:49.000+0200}, author = {Soto-Ferrari, Milton and Carrasco-Pena, Alejandro and Prieto, Diana}, biburl = {https://www.bibsonomy.org/bibtex/2537fe4d662f6eb35fd1c03ab0a147f68/acarrascopena}, doi = {10.1080/2573234x.2022.2122881}, interhash = {c60667f14d16b0b7a9346f02a02ecb6c}, intrahash = {537fe4d662f6eb35fd1c03ab0a147f68}, journal = {Journal of Business Analytics}, keywords = {COVID-19 Deep Forecast Prediction Risk assessment learning myown}, month = sep, number = 3, pages = {217--242}, publisher = {Informa {UK} Limited}, timestamp = {2023-06-19T12:27:49.000+0200}, title = {{AGGFORCLUS}: A hybrid methodology integrating forecasting with clustering to assess mitigation plans and contagion risk in pandemic outbreaks: the {COVID}-19 Case Study}, url = {https://doi.org/10.1080%2F2573234x.2022.2122881}, volume = 6, year = 2022 }