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Research On ID3 Algorithm And Application In Data Mining System Of Grade Policy-Making

Posted on:2008-03-09Degree:MasterType:Thesis
Country:ChinaCandidate:L ZhangFull Text:PDF
GTID:2178360242979528Subject:Control Engineering
Abstract/Summary:PDF Full Text Request
With the development of information technology represented by computer and network, more and more companies, government organizations, academic institutions and research institutions realize the digitalization of information. The database, especially data warehouse has been widely used in management, distribution, scientific calculation and information services. At the same time, the increasing of information brings higher requirement for the storage, management and analysis of data. Much important information may hide in the rapidly increasing data, so that people hope to analysis the information in higher level in order to make better use of the data. Although the current database system can satisfy some functions such as entry, request and counting, it still does not support the excavating of some important information behind the data, which leads to the phenomenon of"exploding data, poor knowledge".The technology of data mining can help us find the knowledge, rules or information of high level from the related data in the Database , especially the Data Warehouse. Classified discovery is widely used in many fields such as scientific experiments, medical treatment, weather prediction, credit verification and case clearance.Large numbers of data as students scores are stored in the college educational administration system. It is a helpful and abundant database indeed. This course will investigated and analysis the ID3 calculation method and raise an improved arithmetic which is able to deeply analysis the datas in this college educational administration system databse. Aim to find out the courses setting connection and propose the data base of students' scores which to support the college's decision making.
Keywords/Search Tags:Data Mining, ID3 Algorithm, Decision Making Support of Grading
PDF Full Text Request
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