%0 Journal Article %1 journals/candie/ChoiJYCL20 %A Choi, Jaewoong %A Jeong, Byeongki %A Yoon, Janghyeok %A Coh, Byoung-Youl %A Lee, Jae-Min %D 2020 %J Comput. Ind. Eng. %K dblp %P 106544 %T A novel approach to evaluating the business potential of intellectual properties: A machine learning-based predictive analysis of patent lifetime. %U http://dblp.uni-trier.de/db/journals/candie/candie145.html#ChoiJYCL20 %V 145

@article{journals/candie/ChoiJYCL20, added-at = {2020-07-15T00:00:00.000+0200}, author = {Choi, Jaewoong and Jeong, Byeongki and Yoon, Janghyeok and Coh, Byoung-Youl and Lee, Jae-Min}, biburl = {https://www.bibsonomy.org/bibtex/202ea3ca72949085982668caaa91de7e4/dblp}, ee = {https://doi.org/10.1016/j.cie.2020.106544}, interhash = {e0aede12a3b38f0e81a5b16919827fff}, intrahash = {02ea3ca72949085982668caaa91de7e4}, journal = {Comput. Ind. Eng.}, keywords = {dblp}, pages = 106544, timestamp = {2020-07-24T00:40:43.000+0200}, title = {A novel approach to evaluating the business potential of intellectual properties: A machine learning-based predictive analysis of patent lifetime.}, url = {http://dblp.uni-trier.de/db/journals/candie/candie145.html#ChoiJYCL20}, volume = 145, year = 2020 }