Knowledge Management And The Research Of The Its Technology In CIMS

Firstly, this paper discuss that Knowledge Management that collect, organize, share and analyze all the enterprise's information source that include data-base, file, policy, process of a procedure, work experience and special skill is a newly all-around research fieldKnowledge Discovering and Knowledge Mining is the important part of Knowledge Management. To some extent, CIMS is the information integration. We can obtain the information that we indeed want less we analyze and mine a lot of data.Then, this paper discuss that in order to satisfy decision-making, on the base of data-base, a new Data Warehouse that can meet the decision-making is built.Data Warehouse has these important characteristics: subject-oriented, data integration, data changing, data non-disappearing, data gathering and decision-making.After we build a DW, first, we take needful data from data fountain to data preparing field where we purge these data, then, we load them to DW. Last, we issue these data on the data mart/knowledge mining base or DW to query or knowledge mining according to customer's requirement.In succession, this paper depict Data Mining which according to enterprise's operation object, explore and analyze a lot of enterprise's data to hint hidden, unbeknown or known business rule.Lastly, we build a DW and make DM on the base of sales of Kunming Yunnei power Ltd. Co. The most work includes designing DW frame, transacting data, building muti-dimension and analyze data. When we select data fountain, this paper separately discuss how to take data from OLAP system and Access data-base. On this base, we take decision-making tree and clustering to build DM model.