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数据挖掘在个性化学习系统中的运用 被引量:6

Application of Data Mining in Personalized-Learning System
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摘要 介绍了一种个性化学习系统,它是远程教育的一种新模式。它针对不同学生的个体差异,为学生提供不同的学习资料。个性化的基础是记录学生的学习过程及学习结果,并对这些数据进行挖掘,分析出学生的个性化特征。该系统就是通过运用数据挖掘技术来研究学生的个性,制订适合学生个性的学习内容,为学生提供个性化服务。数据挖掘技术在网上学习系统中的应用提高了学习系统的个性化服务水平,为系统的决策分析提供了智能的辅助手段。 <Abstrcat>A personalized-learning system is introduced. It is a kind of new pattern of distance education. It provides different studying resources according to the characters of the student. The basis of the system is records of learning result and learning course. By way of mining those records, it can analyze the personalized characters of student. The learning system uses data mining technology to study personalities of students and provides the proper teaching content to meet different students' needs. The application of data mining technology in the system raises the personalized service level of the learning system and offers intelligent supplementary means for systematic decision analysis.
作者 游慧
出处 《微机发展》 2005年第6期140-141,144,共3页 Microcomputer Development
关键词 个性化学习 数据挖掘 WEB日志 关联规则 personalized learning data mining Web log association rules
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  • 1王柳.Java在WWW上的应用[M].哈尔滨工程大学出版社,1997..
  • 2贾彩燕 倪现君.关联规则挖掘研究述评[J].计算机科学,2003,30(4):145-148.
  • 3[1]Perkowitz M,Etzioni O.Towards Adaptive Web Sites:Conceptual Framework and Case Study.Artificial Intelligence,2001
  • 4[2]Leea C H,Kimb Y H,Rheeb P K.Web Personalization Expert with Combing Collaborative Filtering and Association Rule Mining Technique.Expert Systems with Applications,2001,(21):131-137
  • 5[3]Xiao Yongqiao,Dunham M H.Efficient Mining of Traversal Patterns. Data & Knowledge Engineering,2001,(39):191-214
  • 6[4]Grossi R,Vitter J S.Compressed Suffix Arrays and Suffix Trees with Applications to Text Indexing and String Matching.ACM Symposium on the Theory of Computing(STOC2000),Portland,U.S.A(2000)ACM Press,2000
  • 7[5]Larsson N J.Extended Application of Suffix Trees to Data Compres- sion.Data Compression Conference,1996:190-199
  • 8[6]Han Jiawei,Kamber M.Data Mining Concepts and Techniques.Proc. 1996 ACM-SIGMOD Int'l Conf.on Management of Data (SIGMOD' 96),Canada,1996-06
  • 9[3]http://www.csai.com.cn
  • 10[2]http://www.xml.org.cn

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