Definition of customer requirements in big data using word vectors and affinity propagation clustering.

Shi Y, Peng Q

Open source

DOI
10.1177/09544089211001776
Published
2021 Oct
Container
Proceedings of the Institution of Mechanical Engineers. Part E, Journal of process mechanical engineering
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1177/09544089211001776,
  title = {Definition of customer requirements in big data using word vectors and affinity propagation clustering.},
  author = {Shi Y and Peng Q},
  year = {2021},
  journal = {Proceedings of the Institution of Mechanical Engineers. Part E, Journal of process mechanical engineering},
  doi = {10.1177/09544089211001776},
  url = {https://doi.org/10.1177/09544089211001776}
}

RIS

TY  - JOUR
TI  - Definition of customer requirements in big data using word vectors and affinity propagation clustering.
AU  - Shi Y
AU  - Peng Q
PY  - 2021
JO  - Proceedings of the Institution of Mechanical Engineers. Part E, Journal of process mechanical engineering
DO  - 10.1177/09544089211001776
UR  - https://doi.org/10.1177/09544089211001776
ER  - 

APA

Y, S., & Q, P. (2021). Definition of customer requirements in big data using word vectors and affinity propagation clustering.. Proceedings of the Institution of Mechanical Engineers. Part E, Journal of process mechanical engineering. https://doi.org/10.1177/09544089211001776

Source records