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数据挖掘技术在选课系统中的应用 被引量:6

Data Mining Technology Used in Course Selection System
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摘要 数据挖掘是从海量数据中找出潜在的、对用户有用信息的过程。将数据挖掘技术中的关联规则应用到选课系统,对历届学生选课成绩库进行挖掘,找出其中潜在的有用信息,找出不同课程之间的相关性,为教学工作人员指导学生选课提供有效的帮助。 Data mining is a process from which potential and useful information that hidden in mass data can be developed .If we can apply the association rules into the class selection system and mine the hidden and useful knowledge from the credit database,the correlations among different classes can be found. The correlations will give an effective help to teaching staffs to guide students to select their courses.
出处 《微型电脑应用》 2009年第8期61-62,64,共3页 Microcomputer Applications
关键词 数据挖掘 APRIORI算法 选课系统 频繁项目集 Data mining Apriori algorithm Course selection system Frequent item sets
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  • 1[1]Fayyad UM , Piatetsky-shapiro G , Smyth P. Knowledge discovery and data mining :towards a unifying framework[C]. In: Proc of the 2nd Int. Conf on Knowledge Discovery and Data Mining (KDD-96). Portland, 1996
  • 2[2]Agrawal R, Imielinski T, Swami A. Mining association rules between sets of items in large databases[C]. In: Proc of ACM SIGMOD Conf on Management of Data (SIGMOD93). Washington, 1993, 207~216
  • 3[3]Agrawal R, Mannila H, Srikant R et al. Fast discovery of association rules[A]. In: Fayyed UM, Piatetsky-Shapiro G, Smyth P eds. Advance in Knowledge Discovery and Data Mining[C]. Ca: AAAI Press, 1996, 307~328
  • 4[4]Srikant R, Agrawal R. Mining quantitative association rules in large relational tables[C]. In: Proc of ACM SIGMOD Conf on Management of Data (SIGMOD96). Montreal, 1996, 1~12
  • 5[5]Srikant R, Agrawal R. Mining generalized association rules[C]. In: Proc of the 21st Int Conf on Very Large Databases. Zurich, 1995, 407~419
  • 6[6]Agrawal R, Srikant R. Fast algorithms for mining association rules[C]. In: Proc of the 20st Int Conf on Very Large Databases. Santiago, Chile, 1994, 487~499
  • 7[7]Agrawal R, Srikant R. Fast algorithms for mining association rules[R]. IBM Research Report RJ9839, 1994
  • 8[8]Toivonen H. Sampling large databases for association rules[C]. In: Proc of the 22tht Int Conf on Very Large Databases. Bombay, India, 1996, 1~12
  • 9[9]Sergey Brin, Rajeev Montwani, Craig Silverstein. Beyond Market Baskets: Generalizing association rules to correlations[C]. In: Proc of the 1997 ACM SIGMOD conf on Management of Data (SIGMOD97). Tucson, AZ, 1997, 265~276
  • 10[10]Christian Hidber. Online Association Rules Mining[R]. Technical Report, UCB//GSD-98-1004, Department of Electrical Engineering and Computer Science, University of California at Berkeley..4.

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