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Intelligent Credit Scoring: A Smart City Setting for Small and Medium Financial Institutions

Published: 11 March 2024 Publication History

Abstract

Artificial intelligence-based credit scoring methods are becoming more and more popular because of the big data revolution and recent improvements in computing capacity. Since the accuracy of credit scoring models has a significant impact on the profitability of lending organizations, this has found simple leverage. For the purpose to implement a Bayesian network model in a developed a credit scoring system. Age, income reliability, past debt and payment history, are all significant predictors of customer default payment, according to the results of the Bayesian network analysis. Hence, Financial institutions may use a Bayesian Network model to distinguish between good and bad borrowers and to forecast their behavior.

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  1. Intelligent Credit Scoring: A Smart City Setting for Small and Medium Financial Institutions

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    ICIT '23: Proceedings of the 2023 11th International Conference on Information Technology: IoT and Smart City
    December 2023
    266 pages
    ISBN:9798400709043
    DOI:10.1145/3638985
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Published: 11 March 2024

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    Author Tags

    1. Bayesian Network
    2. Credit Scoring
    3. Intelligent System
    4. Machine Learning

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    ICIT 2023
    ICIT 2023: IoT and Smart City
    December 14 - 17, 2023
    Kyoto, Japan

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