The Research Of Data Mining Components Based On SOA Architecture

With the rapid development of information technology,the data traffic is growing, excavated really useful information in a large number of data is more and more difficult and time-consuming.In addition, due to the heterogeneous systems between the industry, leading to difficult to achieve in the data information sharing and mutual use, valuable information resources are wasted. The combination of data mining technology and SOA architecture reach to the sharing of information resources and to maximize the use of existing resources for data mining is necessary.Therefore, in the context of SOA, to conduct research on key technologies related to data mining component has a very important practical significance.In view of the data mining technique has the advantage of the trend forecast,from the BP neural network algorithm proceed, improved BP neural network algorithm was putted forward by improved PSO optimized BP weights, introducing a momentum term, adaptive learning rate and the steepness factor and predictd genetic hypertension prevalence age to verify. Experimental results show that the improved BP neural network prediction results closer to the true value than the standard BP neural network.Use the advantages of services component reuse of SOA architecture technology, starting from Web Services technology in SOA architecture, data mining component packaged by Web Services and provided the external call interface and becomed reusable components.The data mining component of the SOA architecture technology can meet the needs of data mining and service multiplexing, to be able to realize trend forecasting and resource sharing.