citing mdx
We have published a paper on the mdx project – which aims at building a nation-wide data science cloud platform. The paper is available on arxiv at https://arxiv.org/abs/2203.14188. If you use the mdx platform or refer this project, please use this paper for now. The paper is under review for an international conference, thus once it is accepted, we will keep you updated.
BibTeX@article{mdx-IEEECBDCom2022,
doi = {10.48550/ARXIV.2203.14188},
url = {https://arxiv.org/abs/2203.14188},
author = {Toyotaro Suzumura, Akiyoshi Sugiki, Hiroyuki Takizawa, Akira Imakura, Hiroshi Nakamura, Kenjiro Taura, Tomohiro Kudoh, Toshihiro Hanawa, Yuji Sekiya, Hiroki Kobayashi, Yohei Kuga, Ryo Nakamura, Renhe Jiang, Junya Kawase, Masatoshi Hanai, Hiroshi Miyazaki, Tsutomu Ishizaki, Daisuke Shimotoku, Daisuke Miyamoto, Kento Aida, Atsuko Takefusa, Takashi Kurimoto, Koji Sasayama, Naoya Kitagawa, Ikki Fujiwara, Yusuke Tanimura, Takayuki Aoki, Toshio Endo, Satoshi Ohshima, Keiichiro Fukazawa, Susumu Date, Toshihiro Uchibayashi},
keywords = {Machine Learning (cs.LG), Computers and Society (cs.CY), Distributed, Parallel, and Cluster Computing (cs.DC), FOS: Computer and information sciences, FOS: Computer and information sciences},
title = {mdx: A Cloud Platform for Supporting Data Science and Cross-Disciplinary Research Collaborations},
publisher = {The 8th IEEE International Conference on Cloud and Big Data Computing (CBDCom 2022)},
year = {2022},
copyright = {Creative Commons Attribution 4.0 International}
}
aknowledgement
In publishing reports on the outcome of research using mdx, please add the following example as an aknowledgement at the end of such papers.
In this research work, we used the mdx: a platform for the data-driven future.