Data Characteristics Mining and Analysis Technology Under the Background of Massive Data Acquisition

With the acquisition of massive data resources, using big data mining technology to mine and analyze the characteristics of the collected data, making full use of the acquired data, mining the rules of activities, improving the ability of data service system, and providing the basis for the overall benefit of the data. This paper takes the most basic problems of data mining as the starting point, proposes the hot spot temporal and spatial law mining technology based on spectral clustering and the time-series change law mining technology. By further optimizing the data mining process, a data mining and analysis architecture is constructed to complete the mining and analysis of the characteristics between the data, to predict the future trend and behavior of the system, which is a prospective Knowledge-based system optimization decision provides support.