A Cross Level Efficient Item Set Mining System for Heterogeneous Network Shared Data in Electric Furnace Enterprises
Due to the multi-level structure and large amount of data in electric furnace enterprises,in order to solve the problem of poor data i-tem mining depth caused by excessive transaction length in the database,and improve the cross level transmission and itemset mining capabili-ties of data,an efficient cross level itemset mining system for heterogeneous network shared data in electric furnace enterprises is designed.In the heterogeneous network system of electric furnace enterprises,based on the MP shared node definition standard,the AP data sharding prin-ciple is improved,and then the RCAUL call scheme for efficient itemsets is determined using the obtained shared data samples.The mining re-quirement analysis of data samples is achieved,and the design of a cross level efficient itemset mining system for heterogeneous network shared data of electric furnace enterprises is completed.The experimental results show that the system designed by the application can control the transaction length within the range of 0～512 kB,effectively enhancing the cross level transmission ability of shared data in the electric furnace enterprise network.
heterogeneous network of electric furnace enterprisessharing datacross level transmissionefficient itemsetslogical analysisMP nodeAP fragmentationRCAUL call
万方数据
维普
