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MLA

Agrawal, Lavlin, et al. "Handling Imbalanced Data With Weighted Logistic Regression and Propensity Score Matching methods: The Case of P2P Money Transfers." JDM vol.35, no.1 2024: pp.1-37. http://doi.org/10.4018/JDM.335888

APA

Agrawal, L., Mulgund, P., & Sharman, R. (2024). Handling Imbalanced Data With Weighted Logistic Regression and Propensity Score Matching methods: The Case of P2P Money Transfers. Journal of Database Management (JDM), 35(1), 1-37. http://doi.org/10.4018/JDM.335888

Chicago

Agrawal, Lavlin, Pavankumar Mulgund, and Raj Sharman. "Handling Imbalanced Data With Weighted Logistic Regression and Propensity Score Matching methods: The Case of P2P Money Transfers," Journal of Database Management (JDM) 35, no.1: 1-37. http://doi.org/10.4018/JDM.335888

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Handling Imbalanced Data With Weighted Logistic Regression and Propensity Score Matching methods: The Case of P2P Money Transfers

Journal of Database Management (JDM)

The Journal of Database Management (JDM) publishes original research on all aspects of database management, systems analysis and design, and software engineering. The primary mission of JDM is to be instrumental in the improvement and development of theory and practice related to information technology and management of information resources. The journal is targeted at both academic researchers and practicing IT professionals.
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