Algorithmic harm in consumer markets

O Bar-Gill, CR Sunstein… - Journal of Legal …, 2023 - academic.oup.com
Abstract Machine learning algorithms are increasingly able to predict what goods and
services particular people will buy, and at what price. It is possible to imagine a situation in …

[PDF][PDF] Assessment of probability defaults using K-means based multinomial logistic regression

G Arutjothi, C Senthamarai - International Journal of Computer Theory and …, 2022 - ijcte.com
Classification analysis is a key and easy tool in machine learning and prediction. Because of
the large amount of data and the need to convert this data into useful information and …

[PDF][PDF] Comparative analysis of linear, non-linear and ensemble machine learning algorithms for credit worthiness of consumers

DO Oyewola, EG Dada, OT Omotehinwa… - … Intelligence & Wireless …, 2019 - academia.edu
We apply machine-learning techniques to construct linear, non-linear and ensemble
machine learning algorithms. The linear comprises of logistic regression (LR), linear …

Cost-sensitive classifiers in credit rating: A comparative study on P2P lending

H Wang, G Kou, Y Peng - 2018 7th International Conference on …, 2018 - ieeexplore.ieee.org
In credit rating, borrowers are classified into some grades, based on their past credit
experience, to recognize potential borrowers who are of different probability of default …

Políticas de crédito y gestión de cobranza en Laboratorios SMA SAC Ate Vitarte

GK Casasola Gomez, G Ramos Maza - 2020 - alicia.concytec.gob.pe
El informe de investigación tuvo como finalidad describir en qué medida las políticas de
crédito se relacionan con la gestión de cobranza en la empresa Laboratorios SMA SAC …

[PDF][PDF] CONSOLIDATION OF THE BANKING SECTOR-A CHEAP BUYING STRATEGY CASE

D Jevtić, T Vesic - Education, 2019 - researchgate.net
On the Serbian market, we can find, ending 2018. year, 27 banks. By itself, this information
can't mean much, but if we consider that Top 5 banks, have over 50% of whole market, in …