The Research And Implementation Of The Evaluation System For The Degree Of Production Accident Destruction Based On Data Mining

With the development of large data and data mining technology,more and more information systems are connected to the data mining technology,such as voice simulation,image recognition and so on.In this paper,we propose a data mining technique,which is based on the external data,the characteristics of the hazard source and the training data of the historical data,to obtain a more accurate evaluation result.The main contents of this paper are as follows:1.Data integration.In the face of multi-source heterogeneous data integration and real-time requirements,the traditional scheme does not have a good solution to real-time demand.In this paper,a new data integration process is proposed,which includes monitoring data,automatic updating module and knowledge formula database.2.Exception handling in the process of data integration.In many data integration programs,data anomalies often occur,resulting in reduced integrat ion effect.In this paper,we propose an algorithm based on the angle of the three phase anomaly detection,which can effectively solve the abnormal problem and avoid the abnormal data.3.Improvement and application based on K algorithm.In the product ion of damage degree evaluation system,in order to obtain a fast and efficient classifier,this paper proposes an improved scheme of K algorithm based on adjacent sample set will be organized,partition,compression reduces the number of samples,the simi larity calculation and sample set.4.The design and implementation of accident damage system.In this paper,the data interface design of the core module of the system and the realization of some source code are given.