垃圾邮件:在轨迹数据库中使用正则表达式进行顺序模式挖掘

Leticia I. Gómez, A. Vaisman
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引用次数: 5

摘要

在序列模式挖掘中,提出了基于正则表达式的语言将频繁序列限制为满足用户指定约束的序列。在这些语言中,正则应用于项。我们提出了一种更强大的基于正则表达式的语言,称为RE-SPaM,其中的基本元素是对条目属性的约束。这种语言中的表达式可能包括属性、属性之上的函数和变量。我们提出了数据模型,概述了RE-SPaM的语法和语义,以及一组示例,并建议如何在挖掘过程中使用它。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
RE-SPaM: Using Regular Expressions for Sequential Pattern Mining in Trajectory Databases
In sequential pattern mining, languages based on regular expressions (RE) were proposed to restrict frequent sequences to the ones that satisfy user-specified constraints. In these languages, REs are applied over items. We propose a much powerful language, based on regular expressions, denoted RE-SPaM, where the basic elements are constraints over the attributes of the items. Expressions in this language may include attributes, functions over attributes, and variables. We present the data model, sketch the syntax and semantics of RE-SPaM, a set of examples, and suggest how it can be used in the mining process.
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