Abstract: Data normalization is a fundamental part of preprocessing in decision-making problems. It enables aggregating and comparing different decision attributes using Multi-Criteria Decision Making ...
Abstract: This study examines the impact of six normalization techniques and nine additional technical indicators on recursive Transformer models for stock market prediction across four sectors: S&P ...