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大规模数据库中关联规则的发掘

Mining association rules in large scale database
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摘要 给出了一种高效的大数据库中挖掘关联规则的算法 ,该算法通过精心安排挖掘过程中的数据存贮结构 ,以减少对数据库的扫描遍数 ,大大地提高了算法的执行效率。 Presents an efficient algorithm of mining association rules in large scale database. The scan times to the database are remarkably reduced by elaborately arranging the data structure during the mining procedure, to increase the efficiency of the algorithm.
作者 杨学兵 秦锋
出处 《华东冶金学院学报》 2000年第3期229-232,共4页
关键词 知识发现 数据挖掘 关联规则 数据库 knowledge discovery data mining association rules
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参考文献5

  • 1[1] Agrawal R, Imielinski T, Swami A. Mining Associations between Sets of Items in Massive Databases[C]. ACM SIGMOD Int'I Conf on Management of Data,Washington D C, May 1993.
  • 2冯玉才,冯剑琳.关联规则的增量式更新算法[J].软件学报,1998,9(4):301-306. 被引量:227
  • 3[3] Agrawal R, Srikant R. Fast algorithms for mining association rules [C].Proceedings of the 20th International Conference on Very Large Databases,Santiago,Chile,September 1994.
  • 4[4] Han J, Fu Y. Discovery of multiple- level association rules from large databases[C] . Proc of the 21st Int Conf on Very Large Data Bases. Zurich, 1995. 420 ~ 431 .
  • 5[5]Christian Hidber. Online Association Rule Mining[R], Technical Report,UCB//GSD- 98- 1004,Department of Electrical Engineering and Computer Science, University of California at Berkeley, 1998.

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