Solving Regression Problems using Haar Wavelets and Application in Prediction
Publish Year: 1401
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
MATH04_051
تاریخ نمایه سازی: 8 مرداد 1402
Abstract:
The main purpose of this paper is to generalize our previous research papers on data science and machine learning models and then show that Haar wavelet basis is a powerful tool for solving regression problems in data science. In order to show this, we train two regression algorithms based on polynomial basis and Haar wavelet basis to predict a continuous target (car price). Among the wavelet families like Spline and B- Spline wavelets, the Haar wavelet, which is the simplest and easy to implement. The results of the comparison of the models show that the wavelet basis is more efficient and can make a much better prediction.
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Authors
SH Erfani
Education department, Sanandaj, Iran
M Jamalpour Birgani
Department of Mathematics and Statistics, York University, Canada
Sahar Asadi
Education department, Sanandaj, Iran