我的笔记本电脑坏了，我不得不买一台新的。重新安装所有东西后，我从 github 上拉取了我的毕业论文，现在 bibtex 似乎无法识别我的引文。
我有一个 jupyter 笔记本，其中的引用形式为“cite data-cite="CitationName"></cite”（带有必要的 < 和 > 括号）我运行以下提示将笔记本转换为带有引用的 pdf。
jupyter nbconvert MyFile.ipynb --to latex --no-input --template citations.tplx
pdflatex MyFile.tex
bibtex MyFile.aux
pdflatex MyFile.tex
pdflatex MyFile.tex
pdflatex MyFile.tex
在我的上一台笔记本电脑上，这个功能运行正常，但现在引用的是 [?]，并且最后没有参考页面。
我的 tplx 文件如下所示
((*- extends 'article.tplx' -*))
((* block author *))
\author{NAME}
((* endblock author *))
((* block title *))
\title{TITLE}
((* endblock title *))
((* block bibliography *))
\bibliographystyle{plain}
\bibliography{Fraud}
((* endblock bibliography *))
我的 bib 文件名为 Fraud.bib，我已经没有主意了。当我运行 bibtex 行时，我得到：
The top-level auxiliary file: MyFile.aux
I found no \bibdata command---while reading file MyFile.aux
I found no \bibstyle command---while reading file MyFile.aux
(There were 2 error messages)
当我运行 pdflatex 时，我收到一堆未定义的警告。
LaTeX Warning: Citation `biau2016random' on page 3 undefined on input line 518.
LaTeX Warning: Citation `belgiu2016random' on page 3 undefined on input line 53
3.
LaTeX Warning: Citation `breiman2001random' on page 3 undefined on input line 5
77.
它们都存在于 .bib 文件中。我尝试重新安装 miktex 并更新它。我尝试使用其他 jupyter 文件来检查是否损坏，但这种情况仍然发生。
可能出现什么问题？
编辑：Tex 文件示例：https://pastebin.com/N8BKZWd1
围兜文件：
title={Random forest in remote sensing: A review of applications and future directions},
author={Belgiu, Mariana and Dr{\u{a}}gu{\c{t}}, Lucian},
journal={ISPRS journal of photogrammetry and remote sensing},
volume={114},
pages={24--31},
year={2016},
publisher={Elsevier}
}
@article{diaz2006gene,
title={Gene selection and classification of microarray data using random forest},
author={D{\'\i}az-Uriarte, Ram{\'o}n and De Andres, Sara Alvarez},
journal={BMC bioinformatics},
volume={7},
number={1},
pages={1--13},
year={2006},
publisher={BioMed Central}
}
@article{biau2016random,
title={A random forest guided tour},
author={Biau, G{\'e}rard and Scornet, Erwan},
journal={Test},
volume={25},
number={2},
pages={197--227},
year={2016},
publisher={Springer}
}
@article{breiman2001random,
title={Random forests},
author={Breiman, Leo},
journal={Machine learning},
volume={45},
number={1},
pages={5--32},
year={2001},
publisher={Springer}
}
@article{bhowmik2011detecting,
title={Detecting auto insurance fraud by data mining techniques},
author={Bhowmik, Rekha},
journal={Journal of Emerging Trends in Computing and Information Sciences},
volume={2},
number={4},
pages={156--162},
year={2011},
publisher={Citeseer}
}
@article{ngai2011application,
title={The application of data mining techniques in financial fraud detection: A classification framework and an academic review of literature},
author={Ngai, Eric WT and Hu, Yong and Wong, Yiu Hing and Chen, Yijun and Sun, Xin},
journal={Decision support systems},
volume={50},
number={3},
pages={559--569},
year={2011},
publisher={Elsevier}
}
@article{hall1994logistic,
title={Logistic regression—explanation and use},
author={Hall, GH and Round, AP},
journal={Journal of the Royal College of Physicians of London},
volume={28},
number={3},
pages={242},
year={1994},
publisher={Royal College of Physicians}
}
@inproceedings{liu2008isolation,
title={Isolation forest},
author={Liu, Fei Tony and Ting, Kai Ming and Zhou, Zhi-Hua},
booktitle={2008 eighth ieee international conference on data mining},
pages={413--422},
year={2008},
organization={IEEE}
}
@article{jakkula2006tutorial,
title={Tutorial on support vector machine (svm)},
author={Jakkula, Vikramaditya},
journal={School of EECS, Washington State University},
volume={37},
year={2006}
}
@article{tong2001support,
title={Support vector machine active learning with applications to text classification},
author={Tong, Simon and Koller, Daphne},
journal={Journal of machine learning research},
volume={2},
number={Nov},
pages={45--66},
year={2001}
}
@inproceedings{li2010explanation,
title={The explanation of support vector machine in customer churn prediction},
author={Li, Yi and Xia, Guo-en},
booktitle={2010 International Conference on E-Product E-Service and E-Entertainment},
pages={1--4},
year={2010},
organization={IEEE}
}
@article{alghushairy2021review,
title={A Review of Local Outlier Factor Algorithms for Outlier Detection in Big Data Streams},
author={Alghushairy, Omar and Alsini, Raed and Soule, Terence and Ma, Xiaogang},
journal={Big Data and Cognitive Computing},
volume={5},
number={1},
pages={1},
year={2021},
publisher={Multidisciplinary Digital Publishing Institute}
}
@inproceedings{batista2009k,
title={How k-nearest neighbor parameters affect its performance},
author={Batista, GEAPA and Silva, Diego Furtado and others},
booktitle={Argentine symposium on artificial intelligence},
pages={1--12},
year={2009},
organization={Citeseer}
}
@misc{morde_2019,
title={XGBoost Algorithm: Long May She Reign!},
url= {https://towardsdatascience.com},
journal={Towards Data Science},
publisher={Towards Data Science},
author={Morde, Vishal},
year={2019},
month={Apr}
}
@inproceedings{chen2016xgboost,
title={Xgboost: A scalable tree boosting system},
author={Chen, Tianqi and Guestrin, Carlos},
booktitle={Proceedings of the 22nd acm sigkdd international conference on knowledge discovery and data mining},
pages={785--794},
year={2016}
}
@article{wang2019xgboost,
title={A XGBoost risk model via feature selection and Bayesian hyper-parameter optimization},
author={Wang, Yan and Ni, Xuelei Sherry},
journal={arXiv preprint arXiv:1901.08433},
year={2019}
}