Keywords: پیش بینی وضعیت دشواری; Financial distress prediction; Lasso; Random subspace method; Sentiment information; Textual information; Time-span analysis;
مقالات ISI پیش بینی وضعیت دشواری (ترجمه نشده)
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در صورتی که به ترجمه آماده هر یک از مقالات زیر نیاز داشته باشید، می توانید سفارش دهید تا مترجمان با تجربه این مجموعه در اسرع وقت آن را برای شما ترجمه نمایند.
Keywords: پیش بینی وضعیت دشواری; G32; G33; C45; Financial distress prediction; Logit model; Artificial neural networks; Support vector machine; Partial least squares; Hybrid model;
Keywords: پیش بینی وضعیت دشواری; Financial distress prediction; Multiple kernels learning; Listed company; Subspace learning
Keywords: پیش بینی وضعیت دشواری; Financial distress prediction; Bankruptcy prediction; Credit scoring; Feature selection; Data mining
Keywords: پیش بینی وضعیت دشواری; Financial distress prediction; Features selection; Domain knowledge; Data mining
Keywords: پیش بینی وضعیت دشواری; Financial distress prediction; Genetic algorithm; Wrappers; Integrated prediction model; Feature selection
Keywords: پیش بینی وضعیت دشواری; Definition of financial distress; Sampling methods; Featuring methods; Review; Financial distress prediction; Corporate failure prediction; Case-based reasoning; Ensemble; Group decision-making; Support vector machine; Hybrid modeling; Neural network; Dec
Predicting restaurant financial distress using decision tree and AdaBoosted decision tree models
Keywords: پیش بینی وضعیت دشواری; Financial distress prediction; Decision tree; AdaBoosted decision tree; Prediction accuracy; U.S. restaurant firms;
The prediction for listed companies’ financial distress by using multiple prediction methods with rough set and Dempster–Shafer evidence theory
Keywords: پیش بینی وضعیت دشواری; Financial distress prediction; Multiple prediction methods; Rough set; Dempster–Shafer evidence theory; Weight
Financial distress prediction using support vector machines: Ensemble vs. individual
Keywords: پیش بینی وضعیت دشواری; Financial distress prediction; Support vector machine ensemble; Multiple classifiers
Empirical models based on features ranking techniques for corporate financial distress prediction
Keywords: پیش بینی وضعیت دشواری; Financial distress prediction; Empirical models; Features ranking
AdaBoost ensemble for financial distress prediction: An empirical comparison with data from Chinese listed companies
Keywords: پیش بینی وضعیت دشواری; Financial distress prediction; AdaBoost ensemble; Single attribute test; Decision tree; Support vector machine
A cross model study of corporate financial distress prediction in Taiwan: Multiple discriminant analysis, logit, probit and neural networks models
Keywords: پیش بینی وضعیت دشواری; Financial distress prediction; Corporate governance
Hybridizing principles of the Electre method with case-based reasoning for data mining: Electre-CBR-I and Electre-CBR-II
Keywords: پیش بینی وضعیت دشواری; Data mining; Electre; Case-based reasoning; 30-times hold-out method; Financial distress prediction
Majority voting combination of multiple case-based reasoning for financial distress prediction
Keywords: پیش بینی وضعیت دشواری; Financial distress prediction; Multiple case-based reasoning; Majority voting; Chinese listed company
Financial distress prediction based on OR-CBR in the principle of k-nearest neighbors
Keywords: پیش بینی وضعیت دشواری; Financial distress prediction; Case-based reasoning; Outranking relations; k-nearest neighbors
Data mining method for listed companies’ financial distress prediction
Keywords: پیش بینی وضعیت دشواری; Financial distress prediction; Data mining; Decision tree; Attribute-oriented induction
Listed companies’ financial distress prediction based on weighted majority voting combination of multiple classifiers
Keywords: پیش بینی وضعیت دشواری; Financial distress prediction; Multiple classifier combination; Weighted majority voting
Ranking-order case-based reasoning for financial distress prediction
Keywords: پیش بینی وضعیت دشواری; Financial distress prediction; Ranking-order case-based reasoning; k-Nearest neighbor; Chinese listed company
Modelling corporate failure: A multinomial nested logit analysis for unordered outcomes
Keywords: پیش بینی وضعیت دشواری; Financial distress prediction; Unordered outcomes; Multinomial nested logit; Standard logit