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, denote...
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2019
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Acceso en línea: | http://ri.itba.edu.ar/handle/123456789/1435 |
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I32-R138-123456789-14352022-12-07T14:13:55Z RE-SPaM: Using regular expressions for sequential pattern mining in trajectory databases Gómez, Leticia Irene Vaisman, Alejandro Ariel MINERIA DE DATOS LENGUAJES DE PROGRAMACION TEORIA DE LA INFORMACION "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." 2019-01-25T18:36:50Z 2019-01-25T18:36:50Z 2008 Ponencias en Congresos info:eu-repo/semantics/acceptedVersion 978-0769-53-503-6 http://ri.itba.edu.ar/handle/123456789/1435 en info:eu-repo/semantics/altIdentifier/doi/10.1109/ICDMW.2008.14 info:eu-repo/grantAgreement/EU/FP6-IST-FET/FP6-14915/EU. info:eu-repo/grantAgreement/FWO/G.0344.05/BE. Bruselas info:eu-repo/grantAgreement/ANPCyT/PICT/21350/AR. Ciudad Autónoma de Buenos Aires application/pdf |
institution |
Instituto Tecnológico de Buenos Aires (ITBA) |
institution_str |
I-32 |
repository_str |
R-138 |
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Repositorio Institucional Instituto Tecnológico de Buenos Aires (ITBA) |
language |
Inglés |
topic |
MINERIA DE DATOS LENGUAJES DE PROGRAMACION TEORIA DE LA INFORMACION |
spellingShingle |
MINERIA DE DATOS LENGUAJES DE PROGRAMACION TEORIA DE LA INFORMACION Gómez, Leticia Irene Vaisman, Alejandro Ariel RE-SPaM: Using regular expressions for sequential pattern mining in trajectory databases |
topic_facet |
MINERIA DE DATOS LENGUAJES DE PROGRAMACION TEORIA DE LA INFORMACION |
description |
"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." |
format |
Ponencias en Congresos acceptedVersion |
author |
Gómez, Leticia Irene Vaisman, Alejandro Ariel |
author_facet |
Gómez, Leticia Irene Vaisman, Alejandro Ariel |
author_sort |
Gómez, Leticia Irene |
title |
RE-SPaM: Using regular expressions for sequential pattern mining in trajectory databases |
title_short |
RE-SPaM: Using regular expressions for sequential pattern mining in trajectory databases |
title_full |
RE-SPaM: Using regular expressions for sequential pattern mining in trajectory databases |
title_fullStr |
RE-SPaM: Using regular expressions for sequential pattern mining in trajectory databases |
title_full_unstemmed |
RE-SPaM: Using regular expressions for sequential pattern mining in trajectory databases |
title_sort |
re-spam: using regular expressions for sequential pattern mining in trajectory databases |
publishDate |
2019 |
url |
http://ri.itba.edu.ar/handle/123456789/1435 |
work_keys_str_mv |
AT gomezleticiairene respamusingregularexpressionsforsequentialpatternminingintrajectorydatabases AT vaismanalejandroariel respamusingregularexpressionsforsequentialpatternminingintrajectorydatabases |
_version_ |
1765660860288598016 |