Post classification change detection based on feature-based ensemble classifiers

Large data mixed attribute feature detection method based on Kalman algorithm

“…In the current complex network environment, through the characteristics of data as directional guidance and selection, a multi-level, multi-target, multi standard network big data feature detection program has been designed, Multiple attribute feature subsets are used to process the collected data uniformly, and finally the detection results of mixed attribute features are obtained. In addition [8], on the basis of common feature detection, the combination of attribute dimensionality reduction and redundant features can also be used for multidimensional data detection and processing, to strengthen the implementation and processing of detection targets, and to provide reference and theoretical reference for the development of subsequent related technologies and industries [9].…”