因果分析:房地产投资决策的因果机器学习

2021 IEEE 8th International Conference on Data Science and Advanced Analytics (DSAA) Pub Date : 2021-10-06 DOI:10.1109/DSAA53316.2021.9564210

Rodrigo Rivera-Castro, Evgeny Burnaev

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引用次数: 0

摘要

作为一家公司，正确的财务规划是具有挑战性的。知识是具体的，有能力的专家是稀缺的。财务管理不善的代价很高。它会导致罚款、错失机会和投资回报。CAUSALYSIS为中小型企业提供由因果机器学习驱动的财务场景规划。我们描述了一个关于物业租赁ROI的因果机器学习用例。

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CAUSALYSIS: Causal Machine Learning for Real-Estate Investment Decisions

As a company, proper financial planning is challenging. The knowledge is specific and competent experts are scarce. Poor financial management has a high cost. It results in penalty fees, missed opportunities, and return on investment. CAUSALYSIS empowers small and medium businesses with financial scenario planning powered by Causal Machine Learning. We describe a use case for causal machine learning on the ROI of property rentals.

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2021 IEEE 8th International Conference on Data Science and Advanced Analytics (DSAA)

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