This paper will discuss the possibility to adopt the Case-Based Reasoning approach to improve microcredit initiatives. In particular, we will consider the Kiva microcredit system, which provides a characterisation (rating) of the risk associated to the field partner supporting the loan, but not of the specific borrower which would benefit from it. We will discuss how the combination of available historical data on loans and their outcomes (structured as a case base) and available knowledge on how to evaluate the risk associated to a loan request (exploited to actually rate past cases and therefore bootstrap the CBR system), can be used to provide the end-users with an indication of the risk rating associated to a loan request based on similar past situations. From this perspective, the case-base and the codified knowledge about how to evaluate risks associated to a loan represent two examples of knowledge IT artifacts
This paper will discuss the possibility to adopt the Case-Based Reasoning approach to improve microcredit initiatives. In particular, we will consider the Kiva microcredit system, which provides a characterisation (rating) of the risk associated to the field partner supporting the loan, but not of the specific borrower which would benefit from it. We will discuss how the combination of available historical data on loans and their outcomes (structured as a case base) and available knowledge on how to evaluate the risk associated to a loan request (exploited to actually rate past cases and therefore bootstrap the CBR system), can be used to provide the end-users with an indication of the risk rating associated to a loan request based on similar past situations. From this perspective, the case-base and the codified knowledge about how to evaluate risks associated to a loan represent two examples of knowledge IT artifacts.
JAMAL UDDIN, M., Vizzari, G., Bandini, S. (2015). Case based reasoning as a tool to improve microcredit. In KMIS 2015 - Proceedings of the International Conference on Knowledge Management and Information Sharing, part of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2015), Volume 3, Lisbon, Portugal, November 12-14, 2015 (pp.466-473). SciTePress [10.5220/0005664604660473].
Case based reasoning as a tool to improve microcredit
JAMAL UDDIN, MOHAMMEDPrimo
;VIZZARI, GIUSEPPESecondo
;BANDINI, STEFANIAUltimo
2015
Abstract
This paper will discuss the possibility to adopt the Case-Based Reasoning approach to improve microcredit initiatives. In particular, we will consider the Kiva microcredit system, which provides a characterisation (rating) of the risk associated to the field partner supporting the loan, but not of the specific borrower which would benefit from it. We will discuss how the combination of available historical data on loans and their outcomes (structured as a case base) and available knowledge on how to evaluate the risk associated to a loan request (exploited to actually rate past cases and therefore bootstrap the CBR system), can be used to provide the end-users with an indication of the risk rating associated to a loan request based on similar past situations. From this perspective, the case-base and the codified knowledge about how to evaluate risks associated to a loan represent two examples of knowledge IT artifacts.
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