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DOI:
Journal of Software:2003.14(5):970-975

序列中的一般化局部序列模式发现
靳晓明,陆玉昌,石纯一
(清华大学计算机科学与技术系,北京,100084;清华大学智能技术与系统国家重点实验室,北京,100084)
Discovery of Generalized Local Sequential Patterns
JIN Xiao-Ming,LU Yu-Chang,SHI Chun-Yi
()
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Received:June 04, 2002    Revised:August 23, 2002
> 中文摘要: 已有的时序序列中的模式发现方法主要关注于发现全局的模式,该模式的频繁度量通过扫描序列的所有记录产生.然而,仅在某个时间段中频繁的局部模式在实际中是广泛存在的,对其有效的发现是有意义的.介绍了一种在时序序列中发现一般化局部序列模式的方法.发现的模式具有形式"在子序列s中,如果A发生,则B在时间T内发生".提出的方法包括一个支持高效的模式实例定位与计数的索引结构和一个2段的局部模式挖掘算法.试验结果符合问题的定义,并证明了提出方法的优越性.
Abstract:Previous work on pattern discovery in sequence data mainly considers finding global patterns, whereevery record in the temporal sequence contributes to support the patterns. However, local patterns, which arefrequent only in some time periods, are actually very common in practice and the efficient discovery of it ispotentially very useful. This paper presents a method for discovering generalized local sequential patterns with thestructure that supports efficiently locating and counting of the pattern instances and a two-phase method forefficiently mining of local patterns. Experimental results corresponded with the problem definition and verified thesuperiority of the approach.
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基金项目:Supported by the National Natural Science Foundation of China under Grant No.79990580 (国家自然科学基金); the NationalGrand Fundamental Research 973 Program of China under Grant No. G1998030414 (国家重点基础研究发展规划(973)) Supported by the National Natural Science Foundation of China under Grant No.79990580 (国家自然科学基金); the NationalGrand Fundamental Research 973 Program of China under Grant No. G1998030414 (国家重点基础研究发展规划(973))
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靳晓明,陆玉昌,石纯一.序列中的一般化局部序列模式发现.软件学报,2003,14(5):970-975

JIN Xiao-Ming,LU Yu-Chang,SHI Chun-Yi.Discovery of Generalized Local Sequential Patterns.Journal of Software,2003,14(5):970-975