کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
387739 660907 2006 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A new hybrid data mining technique using a regression case based reasoning: Application to financial forecasting
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
A new hybrid data mining technique using a regression case based reasoning: Application to financial forecasting
چکیده انگلیسی

This paper proposes a regression case based reasoning (RCBR) which applies different weights to independent variables before finding similar cases. The traditional CBR model has focused on finding similar cases from a case base without considering the importance of independent variables. Thus, when extracting similar cases the traditional CBR has put same weights on each independent variable.The proposed regression CBR (RCBR) finds a relative importance of independent variables from the relationship between independent variables and a dependent variable using a regression analysis and puts relative weights using regression coefficients on independent variables. Then, it selects nearest neighbor or similar cases using weighted independent variables through the traditional CBR machine and updates weights dynamically for the next target case and again performs the traditional CBR machine.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 31, Issue 2, August 2006, Pages 329–336
نویسندگان
, ,