Deep layer network data source abnormal point detection method and system

• Main Authors: CUI ZHIMING, ZHAO PENGPENG, WU JIAN, HE TIANXU, ZHOU XU
• Format: Patent
• Language: Chinese; English
• Published: 16.07.2014
• Subjects: CALCULATING; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS

The invention discloses a deep layer network data source abnormal point detection method and system. The method includes the steps that a plurality of original samples are collected from a deep layer network data source and are respectively layered into s layers according to pre-established rules, the probability of each layer containing abnormal points is determined according to a preset algorithm after layering, the stated number of times of resampling is allocated to the s layers according to the optimal sampling strategy, the number of times of resampling of each layer is determined, resampling is carried out according to the determined numbers of times of resampling, and finally resampling data are combined with layered original samples to achieve abnormal point detection. By means of the detection method and system, the limited sample data are layered, and deep layer network data source abnormal points can be detected; because most abnormal points are located in a few layers, more abnormal points can be