The Application of Data Mining in Operation Dangerous Point Analysis of Power Supply Enterprise
Yang Tao · Shenyang Nongye Daxue xuebao · 2013
In order to improve the quality of power supply enterprise operation and to collect knowledge which is potential and useful from the existing task database,this paper adopts data mining in operation dangerous point analysis of power supply enterprise.Operation dangerous point has characteristics of complex in power supply enterprise.It established dependency relationship network and analyzed data which were cleaned and transformed by Apriori algorithm and SQL Server 2005 Analysis Services.It finds out that Apriori algorithm is suitable for operation dangerous point analysis system of power supply enterprise.It gets a sequence of dangerous point correlation,improves the level of decision and analysis,and makes that operators mask the risk factors and do protection work in time.