Simulation of Power Data Warehouse Abnormal Data Mining Method
Peng Xiang-li · Jisuanji fangzhen · 2013
Research the accurate detection of Power Data Warehouse.The electric anomaly data characteristics in the big differences data set can not consist of consistent standard.The paper put forward a power data warehouse data detection algorithm based on ant clustering optimization.The algorithm was used to construct a features forecasting model of data warehouse and get predict abnormal data characteristics.The coarse abnormal data characteristics were classified using the ant clustering method to detect the accurate data features.The simulation results show that the algorithm enhances power detection efficiency and precision.