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Research And Implementation Of Data Warehouse And Data Mining On Student Enrollment Decision Support

Posted on:2007-01-31Degree:MasterType:Thesis
Country:ChinaCandidate:H Y HuFull Text:PDF
GTID:2178360212965575Subject:Computer application technology
Abstract/Summary:PDF Full Text Request
With continuous enlargement of enrollment in higher professional colleges, the educational policy changing to multiple enrollment programs, each college being able to recruit suitable students, the competition among these colleges is very fierce. It will be an important subject to use the information of enrollment student, which will help college make correct decision on the annual enrollment to propagandize, launch plan, set specialty and choice residents. At present, it is very blind that the colleges adopt last experience to recruit student, which can't realize the maximization of the benefit of enrollment information and enhance the rate of registering-student with good character.Data Warehouse and Data Mining technologies can abstract the useful information from numerous data, direct correctly decision. The technology is adopted in more and more fields and the result is satisfied. To implement Technology of Data Warehouse and Data Mining in the enrollment field will be a well solution for the problems above.This search target is a certain higher professional college, and the data resources are recruitment databases from 2002 to 2005 year. The main research objects are following:1. After comprehensive analysis and comparison, choose right Date Warehouse platform and Data Mining tool.2. Research and put forward the solution to design and implement recruitment Data Warehouse. Realize recruitment Data Warehouse after clearing, extracting, integrating, transferring and loading datum, which come from different sources and styles.3. Basing on the Data Warehouse, make analysis in residents, sources structures,sources losing by OALP, and show these by statistical chart.4. By using Date Mining ways of Relation analysis, Decision Tree Analysis and Clustering Analysis, to discover possible relationships between resident levels, scores levels, school admission type, specialty setting and sources losing.5. Finally, based on the results of Date Mining, to evaluate and compare rules discovered, and suggestions for enrollment administration were proposed.The research shows that technology of Data Warehouse and Data Mining is implemented in the enrollment field to find potential and valuable knowledge in recruit information, which will help to scientifically direct enrollment, reasonably set specialty, effectively propagandize and enhance the rate of registering-student with good character. It has important practice and theory meaning to enhancement of college construction and recruitment, to promote the competition of college.
Keywords/Search Tags:Data Warehouse, Data Mining, Enrollment Decision Support, OLAP
PDF Full Text Request
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