GUST 发表于 2025-3-21 16:39:24
书目名称Machine Learning and Principles and Practice of Knowledge Discovery in Databases影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0620572<br><br> <br><br>书目名称Machine Learning and Principles and Practice of Knowledge Discovery in Databases影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0620572<br><br> <br><br>书目名称Machine Learning and Principles and Practice of Knowledge Discovery in Databases网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0620572<br><br> <br><br>书目名称Machine Learning and Principles and Practice of Knowledge Discovery in Databases网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0620572<br><br> <br><br>书目名称Machine Learning and Principles and Practice of Knowledge Discovery in Databases被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0620572<br><br> <br><br>书目名称Machine Learning and Principles and Practice of Knowledge Discovery in Databases被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0620572<br><br> <br><br>书目名称Machine Learning and Principles and Practice of Knowledge Discovery in Databases年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0620572<br><br> <br><br>书目名称Machine Learning and Principles and Practice of Knowledge Discovery in Databases年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0620572<br><br> <br><br>书目名称Machine Learning and Principles and Practice of Knowledge Discovery in Databases读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0620572<br><br> <br><br>书目名称Machine Learning and Principles and Practice of Knowledge Discovery in Databases读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0620572<br><br> <br><br>远地点 发表于 2025-3-21 23:58:05
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Privacy-Preserving Machine Learning in Life Insurance Risk Prediction One of the most relevant ones is privacy. However, privacy-preserving methods can potentially hinder the predictive potential of machine learning models. In this paper, we present preliminary experiments with life insurance data using two privacy-preserving techniques: discretization and encryptionartless 发表于 2025-3-22 06:57:31
Financial Distress Model Prediction Using Machine Learning: A Case Study on Indonesia’s Consumers Cyal distress affects the sustainability of a company’s operations and undermines the rights and interests of its stakeholders, also harming the national economy and society. Therefore, we developed an accurate predictive model for financial distress. Using 17 financial attributes obtained from the fiFLASK 发表于 2025-3-22 09:38:56
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Towards Explainable Occupational Fraud Detectionenable automated detection of occupational fraud through recording large amounts of company data, the use of state-of-the-art machine learning approaches in this domain is limited by their untraceable decision process. In this study, we evaluate whether machine learning combined with explainable art惩罚 发表于 2025-3-22 18:19:09
Towards Data-Driven Volatility Modeling with Variational Autoencodersautonomously learns concepts such as the volatility level, smile, and term structure without leaning on hypotheses from traditional volatility modeling techniques. In addition to introducing notable improvements to an existing variational autoencoder approach for the reconstruction of both complete旁观者 发表于 2025-3-23 01:02:01
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