Experimental analysis of machine learning methods for credit score classification
Credit scoring concerns with emerging empirical model to assist the financial institutions for
financial decision-making process. Credit risk analysis plays a vital role for decision-making …
financial decision-making process. Credit risk analysis plays a vital role for decision-making …
[HTML][HTML] Efficient sequential covering strategy for classification rules mining using a discrete equilibrium optimization algorithm
MM Malik, H Haouassi - Journal of King Saud University-Computer and …, 2022 - Elsevier
Rule-based classification is one of the important tasks in data mining due to its wide
applications, particularly in the domains that need to interpret the classification decision …
applications, particularly in the domains that need to interpret the classification decision …
One-dimensional convolutional neural networks with feature selection for highly concise rule extraction from credit scoring datasets with heterogeneous attributes
Y Hayashi, N Takano - Electronics, 2020 - mdpi.com
Convolution neural networks (CNNs) have proven effectiveness, but they are not applicable
to all datasets, such as those with heterogeneous attributes, which are often used in the …
to all datasets, such as those with heterogeneous attributes, which are often used in the …
Credit scoring by leveraging an ensemble stochastic criterion in a transformed feature space
The credit scoring models are aimed to assess the capability of refunding a loan by
assessing user reliability in several financial contexts, representing a crucial instrument for a …
assessing user reliability in several financial contexts, representing a crucial instrument for a …
SME steeplechase: When obtaining money is harder than innovating
In this paper, we analyze the main characteristics of European Small and Medium
Enterprises (SMEs), related to the demand for and access to external financial resources …
Enterprises (SMEs), related to the demand for and access to external financial resources …
Optimizing business intelligence classification rule mining using quantum-inspired genetic algorithm
YI Adnane, M Zerari - IEEE Access, 2024 - ieeexplore.ieee.org
This research introduces a novel approach to enhance knowledge discovery through the
construction of classification rules for improved event prediction within the domain of …
construction of classification rules for improved event prediction within the domain of …
Extraction of knowledge with population-based metaheuristics fuzzy rules applied to credit risk
One of the goals of financial institutions is to reduce credit risk. Consequently they must
properly select customers. There are a variety of methodologies for credit scoring, which …
properly select customers. There are a variety of methodologies for credit scoring, which …
Minería de datos, minería de textos y Big Data
Esta línea de investigación se centra en el estudio y desarrollo de Sistemas Inteligentes
para la resolución de problemas de Minería de Datos y Big Data utilizando técnicas de …
para la resolución de problemas de Minería de Datos y Big Data utilizando técnicas de …
A novel approach for extraction of knowledge in data analysis using meta heuristic models
Now days, enormous amount of the data are generated and collected from different domains
and analyze of all these data manually is tedious task. Therefore, Knowledge Discovery in …
and analyze of all these data manually is tedious task. Therefore, Knowledge Discovery in …
Generación automática inteligente de resúmenes de textos con técnicas de Soft Computing
A Villa Monte - 2019 - sedici.unlp.edu.ar
Hoy en día, Internet es el medio elegido para difundir información que luego se utiliza para
resolver una amplia gama de problemas. Sin embargo, a medida que aumenta la cantidad …
resolver una amplia gama de problemas. Sin embargo, a medida que aumenta la cantidad …