Research On Online Analytical Processing And Data Mining Method In Electric Power Production

Online analytical processing and data dring are hot SPots of research in thedomain of dataase and Anficial intelligence recently, aller analyzing andprocessing a lnye arnoun of data, useful information and knowledge in those datacan be obtalned to meet the demand of people's increasing desire for knowledge.Every day, the electric power production system consumes a great deal ofmateria1s to produce abundant electricityr, which is been used and sold, thus aplentifiJl of data about production and sale is accumulated. TOday competition ismore and more furious. compedes demand eagerly to query' these data at fastspeed, then analyse it and get potential infOrmation in it, so the manager can gainknowledge in deep leve1 and direct his company to produce and manage well.OnLline ana1ytical processing is a multi-dimension analysis tool, it can providedata logistic view witb multiple lay and multiple angle, date mining is a decisionsupport procedtire of feding mode in data collection,it is a concrete aPplication inmatUre tecboque just as aItificial intelligence and Statistics.This article focuses onouline analytical processing and data mtheng of the data in electric powerproduction enterprise, in this paPer, detailed introduction and analyzing of onlineanalytical processing. data mining. rough set method that aPplying to system'sdata mining. knowledge reduction and data reliance property were given, on thebasis of researching the characteriStic of electric power production system, theaUthor proposes the design scheme of oniine analytical and data mining for thesystem, gives the achievement method of the system, and presents the algorithmof attribute reduction. attribute importance and the' gain of decision rule in datamining. By the irnPlementaion of the system, comPany gained deeP-seatedknowedge and used the knoWledge iatct production, and much more profitwas brought out.