کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
385917 | 660874 | 2006 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
On preprocessing data for financial credit risk evaluation
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
Financial credit-risk evaluation is among a class of problems known to be semi-structured, where not all variables that are used for decision-making are either known or captured without error. Machine learning has been successfully used for credit-evaluation decisions. However, blindly applying machine learning methods to financial credit risk evaluation data with minimal knowledge of data may not always lead to expected results. We present and evaluate some data and methodological considerations that are taken into account when using machine learning methods for these decisions. Specifically, we consider the effects of preprocessing of credit-risk evaluation data used as input for machine learning methods.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 30, Issue 3, April 2006, Pages 489–497
Journal: Expert Systems with Applications - Volume 30, Issue 3, April 2006, Pages 489–497
نویسندگان
Selwyn Piramuthu,