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Study on Datawarehouse and Data Mining Technologies in Teaching Management System of High School
Author: SunYan
Tutor: LiQingYun
School: China University of Petroleum
Course: Computer technology
Keywords: Teaching Management System Data warehouse Data Mining Decision Tree Association rules
CLC: TP311.13
Type: Master's thesis
Year: 2010
Downloads: 168
Quote: 0
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Abstract
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Data warehouse and data mining database research , development and application of the most active branches of the . Data warehouse can be extracted external data and internal data together , unified pass information to all levels of users . Data mining in massive amounts of data to find potential associations between the data and found that ignore factors . Colleges and universities to continuously improve the quality of teaching , and the end of each semester students via a network of classroom teachers teaching quality assessment , the school based on scoring results of each teacher 's score is calculated according to a predetermined formula . But ignored students scoring may be due to various factors , there is a great deviation of assessment , such as teachers and students of different professional scoring standards are not the same diameter , so to a certain extent on the results of these scores can not be totally objective , comprehensive , a true reflection of the level of actual teachers teaching . To solve this problem , this paper proposed a data warehouse and data mining technology in teaching management system . This paper introduces the concept of database and data mining , data mining technology and its algorithm combined with college teaching management system of teaching quality assessment system . The organization of the data warehouse data for evaluating teaching tools , focusing on the decision tree method ID3 algorithm , the classical algorithm - Apriori algorithm association rules in teaching quality assessment system . Teaching assessment data and teacher data mining to identify the inherent law and the key factors affecting the effectiveness of teaching , so that assessment play a real role in guiding .
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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer software > Program design,software engineering > Programming > Database theory and systems
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