Towards Data-Driven Decision-Making in the Korean Film Industry: An XAI Model for Box Office Analysis Using Dimension Reduction, Clustering, and Classification.

Leem S, Oh J, So D, Moon J

Open source

DOI
10.3390/e25040571
Published
2023 Mar 27
Container
Entropy (Basel, Switzerland)
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.3390/e25040571,
  title = {Towards Data-Driven Decision-Making in the Korean Film Industry: An XAI Model for Box Office Analysis Using Dimension Reduction, Clustering, and Classification.},
  author = {Leem S and Oh J and So D and Moon J},
  year = {2023},
  journal = {Entropy (Basel, Switzerland)},
  doi = {10.3390/e25040571},
  url = {https://doi.org/10.3390/e25040571}
}

RIS

TY  - JOUR
TI  - Towards Data-Driven Decision-Making in the Korean Film Industry: An XAI Model for Box Office Analysis Using Dimension Reduction, Clustering, and Classification.
AU  - Leem S
AU  - Oh J
AU  - So D
AU  - Moon J
PY  - 2023
JO  - Entropy (Basel, Switzerland)
DO  - 10.3390/e25040571
UR  - https://doi.org/10.3390/e25040571
ER  - 

APA

S, L., J, O., D, S., & J, M. (2023). Towards Data-Driven Decision-Making in the Korean Film Industry: An XAI Model for Box Office Analysis Using Dimension Reduction, Clustering, and Classification.. Entropy (Basel, Switzerland). https://doi.org/10.3390/e25040571

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