Author:
Valdez-Valenzuela Eric,Kuri-Morales Angel,Gomez-Adorno Helena
Publisher
Springer Nature Switzerland
Reference16 articles.
1. Kuhn, M., Johnson, K.: Feature Engineering and Selection: A Practical Approach for Predictive Models. CRC Press, Boca Raton (2019)
2. Hancock, J.T., Khoshgoftaar, T.M.: Survey on categorical data for neural networks. J. Big Data 7(1), 1–41 (2020)
3. Zheng, A., Casari, A.: Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists. O’Reilly Media Inc., Boston (2018)
4. Micci-Barreca, D.: A preprocessing scheme for high-cardinality categorical attributes in classification and prediction problems. ACM SIGKDD Explor. Newsl. 3(1), 27–32 (2001)
5. Prokhorenkova, L., et al.: CatBoost: unbiased boosting with categorical features. Adv. Neural Inf. Process. Syst. 31 (2018)
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献