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频繁序列模式挖掘中关键技术的研究 被引量:7

Study of Key Techniques in Mining Frequent Sequential Patterns
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摘要 如何确定候选频繁序列模式以及如何计算它们的支持数是序列模式挖掘中的两个关键问题。该文提出了一种基于二进制形式的候选频繁序列模式生成和相应的支持数计算方法,该方法只需对挖掘对象进行一些“或”、“与”、“异或”等逻辑运算操作,显著降低了算法的实现难度,将该方法与频繁序列模式挖掘及更新算法相结合,可以进一步提高算法的执行效率。 How to generate candidate frequent sequential pattern and calculate its support is a key problem in mining frequent sequential patterns. An efficient and fast algorithm based on binary format for discovering candidate frequent sequential patterns and calculating its support is proposed, which only executes some logical operation, A performance comparison of this algorithm with GSP algorithm and TSE is given, and the experiments show that the new methods are more efficient.
作者 孙蕾 朱玉全
出处 《计算机工程》 EI CAS CSCD 北大核心 2006年第11期95-96,99,共3页 Computer Engineering
基金 国家自然科学基金资助项目(60572112) 江苏大学科研启动基金资助项目(04KJD001)
关键词 数据挖掘 序列模式 增量式更新 Dala mining Sequential pattern Incremental update
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参考文献5

  • 1Agrawal R, Srikant R, Mining Sequential Patterns[C]. Proc. of the 11^th Int'l Conf, on Data Engineering, Washington D. C.: IEEE Computer Sociely Press, 1995:3-14.
  • 2Agrawal R, Srikant R. Mining Sequential Patterns: Generalizations and Performance Improvement[C], Proc. of the 5^th Int'l Conf, on Extending Database Technology. Heidelberg: Springer-Verlag, 1996:3-17.
  • 3Zaki M J, SPADE: An Efficient Algorithm for Mining Frequent Sequences[J], Machine Learning, 2001 42(1/2): 31-60.
  • 4Masseglia F, Poncelet P, Teisseure M. Incremental Mining of Sequential Patterns in Large Database[J], Data & Knowledge Engineering, 2003, 46(1): 97-121.
  • 5Lin M Y, Lee S Y, Incremental Update on Sequential Patterns in Large Databases[C]. Proceedings of 10^th IEEE International Conference on Tools with Artificial Intelligence, Taipei, Taiwan, 1998:24-31.

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