The Method of Intelligent Extracting of Abnormal Data Under Computer Data Mining Technology

Abstract

With the application of big data and other information technologies, enterprises and institutions have gradually formed massive data resources. How to intelligently extract abnormal data from the massive data resources is an urgent technical problem to be solved at present. This paper proposes a method of extracting abnormal data after normalization of massive data by using computer data mining technology. By comparing with other methods, it is proved that this method runs well and has high efficiency. It solves the problem of standardizing data resources and intelligently extracting abnormal data under the massive data in the era of big data.