Design Course Enrollment and Management for Decision Support System using Large Item Sequence
| Autor: | Chia-Sheng Chang, 張嘉昇 |
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| Rok vydání: | 2008 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 96 Nowadays, with the popularization of computer progress and wide-band network, the field of producing and collecting the information have developed very fast, and every institute of junior college has almost been the computerization already, that makes the database becoming the main tool of data storage. Because of the promotion of database’s ability, production and circulation of the information all present the growth of the exponent. Today the knowledge economy assumes command, how can we turn the huge historical information into valuable commercial intelligence, and in further, makes the knowledge content updates the information to latest revision immediately? Maintain value and exactness of the knowledge content is one of the important element tasks of Business intelligence management. This research utilizes the algorithm of data mining, find out class selection’s Maximal Frequent Items etc and LARGE ITEM SEQUENCE (LS), utilize LS’s LATTICE looking for PATTERNS and disunion result, and to test and verify with human common sense, make DATA INTERPRETATIONS. This research was an example of civil engineering, transfer the PATTERNS into a knowledge map, which combining the result of study and engineering certificate to gather. In order to offering the additional information of class selection and career plan to all students; the PATTERNS that had been find out, with the ABET indicator count that has included in all courses, it can offers the course officers the course adjust and aid decision information on plan. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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