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This paper proposes a novel method of corporate financial risk prediction (FRP) modeling called the adaptive and dynamic ensemble (ADE) of support vector machine (SVM) (ADE-SVM), which integrates the inflow of new data batches for FRP with the process of time. Namely, the characteristic change of corporate financial distress hidden in the data flow is considered as the concept drift of financial distress,...
The subjects of the study are listed petrochemical companies in China. We regard ST as a symbol of financial crisis for an enterprise. T-test and relevant linear test are applied to determine the model variables and Logistic regression to build the forecasting model of financial crisis, then the data of ST enterprise samples and non-ST enterprise samples are used for analysis. With the forecasting...
Data creditability plays a very important role in the complex system simulation creditability. From the point of how to evaluate and improve the complex system simulation data creditability, the concept of the data quality modeling is advanced and the three-dimension data quality modeling space is founded. Based on which, a multiple attributes decision making theory based data creditability evaluating...
This paper applies DEA model to a sample of 58 power plate listed companies in the securities market in China in 2008, with a view to identifying the financial risk companies and non-financial risk companies, instead of using ST in the past. Then, after comparing logit regression model and neural network LVQ in predicting the company financial risks, the conclusion was drawn that neural network LVQ...
Information quality (IQ) is a critical factor in the success of the data mining (DM). Therefore, it is essential to measure the risk of IQ in a data warehouse to ensure success in implementing DM. This paper presents a methodology to determine two IQ characteristics-accuracy and comprehensiveness-that are of critical importance to decision makers. This methodology can examine how the quality risks...
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