Feature optimization approach to improve performance for big data

In big data, a large amount of data needs to be analyzed, which costs much time and computation. So some methods are used to reduce data size, simplify machine learning models, and improve performance. In this motivation, feature optimization approaches are widely adopted to reduce data dimension, which makes the model more transparent and more comprehensible and provide a better explanation of the system model.