Forecasting SMEs' credit risk in supply chain finance with an enhanced hybrid ensemble machine learning approach
In recent years, financial institutions (FIs) have tentatively utilized supply chain finance (SCF)
as a means of solving the financing issues of small and medium-sized enterprises (SMEs) …
as a means of solving the financing issues of small and medium-sized enterprises (SMEs) …
[LIBRO][B] Advanced data mining techniques
The intent of this book is to describe some recent data mining tools that have proven
effective in dealing with data sets which often involve unc-tain description or other …
effective in dealing with data sets which often involve unc-tain description or other …
A survey of evolutionary algorithms for decision-tree induction
This paper presents a survey of evolutionary algorithms that are designed for decision-tree
induction. In this context, most of the paper focuses on approaches that evolve decision …
induction. In this context, most of the paper focuses on approaches that evolve decision …
Induction of decision trees as classification models through metaheuristics
The induction of decision trees is a widely-used approach to build classification models that
guarantee high performance and expressiveness. Since a recursive-partitioning strategy …
guarantee high performance and expressiveness. Since a recursive-partitioning strategy …
An improved boosting based on feature selection for corporate bankruptcy prediction
G Wang, J Ma, S Yang - Expert Systems with Applications, 2014 - Elsevier
With the recent financial crisis and European debt crisis, corporate bankruptcy prediction
has become an increasingly important issue for financial institutions. Many statistical and …
has become an increasingly important issue for financial institutions. Many statistical and …
Operations research and data mining
S Olafsson, X Li, S Wu - European journal of operational research, 2008 - Elsevier
With the rapid growth of databases in many modern enterprises data mining has become an
increasingly important approach for data analysis. The operations research community has …
increasingly important approach for data analysis. The operations research community has …
Comparison of individual, ensemble and integrated ensemble machine learning methods to predict China's SME credit risk in supply chain finance
Y Zhu, C **e, GJ Wang, XG Yan - Neural Computing and Applications, 2017 - Springer
Supply chain finance (SCF) becomes more important for small-and medium-sized
enterprises (SMEs) due to global credit crunch, supply chain financing woes and tightening …
enterprises (SMEs) due to global credit crunch, supply chain financing woes and tightening …
Efficient evolution of decision trees via fully matrix-based fitness evaluation
Abstract Decision Trees (DTs) are a class of supervised learning models that are widely
used for both classification and regression applications. They are well-known for their …
used for both classification and regression applications. They are well-known for their …
Making the right business decision: Forecasting the binary NPD strategy in Chinese automotive industry with machine learning methods
X Wang, D Zeng, H Dai, Y Zhu - Technological Forecasting and Social …, 2020 - Elsevier
The new product development (NPD) is crucial to firms' survival and success. Tough
decisions must be made between the binary NPD strategy (ie incremental NPD strategy and …
decisions must be made between the binary NPD strategy (ie incremental NPD strategy and …
Application of ensemble models in credit scoring models
A Chopra, P Bhilare - Business Perspectives and Research, 2018 - journals.sagepub.com
Loan default is a serious problem in banking industries. Banking systems have strong
processes in place for identification of customers with poor credit risk scores; however, most …
processes in place for identification of customers with poor credit risk scores; however, most …