Research of anomaly detection of laboring statistical data based on DBSCAN cluster algorithm

Traditional data analysis becomes harder and harder to satisfy the need of the socioeconomic development in the field of statistics. Basing on principles and method of data mining, this paper applies the DBSCAN algorithm to anomaly detection of laboring statistical data and determines the parameters according to the trait of laboring statistical data. Then detect abnormal data in statistics data by clustering and provide suggestions of the random inspection.