A Framework for Feature Construction Based on Neighborhood Rough Set

Feature construction or derivation is a way to improve the performance of machine learning tasks. In order to reduce the computational cost of feature construction and cope with dynamic data, this paper presents a feature construction framework based on neighborhood rough set. First, we propose a feature construction method based on matrix and approximate quality to decrease the construction cost....