Association Rule Analysis of Influencing Factors of Literature Curriculum Interest Based on Data Mining.

Shi L, Zhu Q

Open source

DOI
10.1155/2022/6866134
Published
2022
Container
Computational intelligence and neuroscience
Publisher
Not recorded
Open access
yes

Credibility signals

serious concern Score 10/100 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:10.1155/2022/6866134,
  title = {Association Rule Analysis of Influencing Factors of Literature Curriculum Interest Based on Data Mining.},
  author = {Shi L and Zhu Q},
  year = {2022},
  journal = {Computational intelligence and neuroscience},
  doi = {10.1155/2022/6866134},
  url = {https://doi.org/10.1155/2022/6866134}
}

RIS

TY  - JOUR
TI  - Association Rule Analysis of Influencing Factors of Literature Curriculum Interest Based on Data Mining.
AU  - Shi L
AU  - Zhu Q
PY  - 2022
JO  - Computational intelligence and neuroscience
DO  - 10.1155/2022/6866134
UR  - https://doi.org/10.1155/2022/6866134
ER  - 

APA

L, S., & Q, Z. (2022). Association Rule Analysis of Influencing Factors of Literature Curriculum Interest Based on Data Mining.. Computational intelligence and neuroscience. https://doi.org/10.1155/2022/6866134

Source records