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RE-SPaM: Using regular expressions for sequential pattern mining in trajectory databases

Gómez, Leticia Irene et al · RI ITBA · 2019

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"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 RE-SPaM can be used in the mining process."

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APA 7

Gómez, L. I. E. A. (2019). RE-SPaM: Using regular expressions for sequential pattern mining in trajectory databases. RI ITBA. http://ri.itba.edu.ar/handle/20.500.14769/1435

MLA

Gómez, Leticia Irene et al. RE-SPaM: Using regular expressions for sequential pattern mining in trajectory databases. RI ITBA, 2019. http://ri.itba.edu.ar/handle/20.500.14769/1435.

Chicago

Gómez, Leticia Irene et al. 2019. RE-SPaM: Using regular expressions for sequential pattern mining in trajectory databases. RI ITBA. http://ri.itba.edu.ar/handle/20.500.14769/1435.

Harvard

Gómez, L. I. E. A. 2019, RE-SPaM: Using regular expressions for sequential pattern mining in trajectory databases, RI ITBA, available at: http://ri.itba.edu.ar/handle/20.500.14769/1435 [Accessed 7 Aug. 2026].

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Title
RE-SPaM: Using regular expressions for sequential pattern mining in trajectory databases
Author / contributors
Gómez, Leticia Irene et al
Publisher
RI ITBA
Publication year
2019
Language
English

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