Masashi Shibata, Koichi Inoue, Masaskazu Takahashi. A Study on the Efficient R&D Theme Selection Method with Machine Learning. In Lorna Uden, I-Hsien Ting, Manuel Santos-Trigo, editors, Proceedings of the The 11th International Knowledge Management in Organizations Conference on The changing face of Knowledge Management Impacting Society, KMO 2016, Hagen, Germany, July 25-28, 2016. pages 16, ACM, 2016. [doi]
@inproceedings{ShibataIT16,
title = {A Study on the Efficient R&D Theme Selection Method with Machine Learning},
author = {Masashi Shibata and Koichi Inoue and Masaskazu Takahashi},
year = {2016},
doi = {10.1145/2925995.2926031},
url = {http://doi.acm.org/10.1145/2925995.2926031},
researchr = {https://researchr.org/publication/ShibataIT16},
cites = {0},
citedby = {0},
pages = {16},
booktitle = {Proceedings of the The 11th International Knowledge Management in Organizations Conference on The changing face of Knowledge Management Impacting Society, KMO 2016, Hagen, Germany, July 25-28, 2016},
editor = {Lorna Uden and I-Hsien Ting and Manuel Santos-Trigo},
publisher = {ACM},
isbn = {978-1-4503-4064-9},
}