压缩频繁序列模式集

Tao Wang
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引用次数: 1

摘要

压缩频繁序列模式集是解决输出序列模式数量暴增问题的一种方法。为了获得高质量的压缩,它首先对频繁的顺序模式进行聚类,然后为每个集群选择并输出一个具有代表性的顺序模式,从而使这些具有代表性的顺序模式的数量最小化。提出了一种贪婪算法和一种高效的候选算法。代表性序列模式集合是频繁序列模式的子集。实验结果表明,该方法能达到很好的压缩效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Compressing the Set of Frequent Sequential Patterns
Compressing the set of frequent sequential patterns is a method in order to address the problem of explosive number of output sequential patterns. In order to get high-quality compression, it first clusters frequent sequential patterns, and then select and output only a representative sequential pattern for each cluster such that the number of these representative sequential patterns is minimized. A greedy algorithm and an efficient candidate-based algorithm are proposed. The set of representative sequential patterns is a kind of subset of frequent sequential patterns. Experimental results show that it can achieve very good compression effect.
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