Based On Knowledge Discovery Mechanism Of Enterprisedecision Support Systems Research

The development of the society has already entered the era of knowledge economy,knowledge capital determines the future development of enterprises, it is a manifestationof the enterprise value, an important foundation of corporate decision-making。Faced withthe huge, multi-level, dynamic information, traditional static statistical analysis has beendifficult to meet the requirements of corporate decision makers information.This stageenterprise decision support system is just raw data processing and aggregation, onlineanalytical processing capacity is weak, resulting in a lack of decision-making information,it is difficult to meet the needs of decision-makers.Enterprise decision support systemsintegration is not high, the poor quality of data, different formats, standards vary difficultdecision analysis as a basis for data.Enterprise data, including sales data, store data,financial data, database access efficiency is low, due to the lack of a unified andcomprehensive data base and effective reasoning tools, knowledge discovery mechanismcan not be achieved.Today, information resources is increasing richly, the enterprises andtheir own environment than ever more complex, corporate decision-making is facing newchallenges,fully develop information resources, information mining and knowledgediscovery mechanism combined.The article intends to improve the architecture of the decision supportsystem,Proposed enterprise decision support system based on web2.0.Using B/Sstructure,get rid of the fixed pattern of the traditional C/S structure, based on networkinformation resources.Build the data warehouse and enterprise knowledge-based system,Integration into the knowledge discovery mechanism in order to achieve faster, betterdecision-making results.From the theory of knowledge discovery mechanism, first,in theintegration of the domestic academia on knowledge discovery and decision support systemresearch based on further clarify the system concept and content, and to clarify the researchsignificance of enterprise decision support system based on knowledge discoverymechanism.Sencond, It will be discoursed from the data mining mechanism,the mechanismof knowledge map, knowledge sharing mechanism and the knowledge of the expansionmechanism four directions about Knowledge discovery mechanism of network informationresources. The technology of web crawler,data mining,Chinese word segmentation andindexing are applied to knowledge discovery mechanism. The full development of networkinformation resources, improve the use value of the network information to meet the needsof users retrieve.Third, Knowledge discovery、data acquisition integrated data warehouse based on enterprise MIS system,Mining useful knowledge in the data warehouse to theformation of the Knowledge Base,decision support system services platform iscombination of Knowledge base and model base. The logical framework of decisionsupport system based on knowledge discovery mechanism has beeen built,Discusses thesystem data integration platform、Knowledge Base module、model base module、anddecision analysis platform main function modules, multi-level、multi-angle analysis ofenterprise data. Last, Instance analysis, for the case of a company, Enterprise managementstatus from the height of corporate strategy recognized the need for an enterprise-classmanagement platform.