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Finding maximal sequential patterns in text document collections and single documents
RENE ARNULFO GARCIA HERNANDEZ
JOSE FRANCISCO MARTINEZ TRINIDAD
JESUS ARIEL CARRASCO OCHOA
Acceso Abierto
Atribución-NoComercial-SinDerivadas
Text mining
Maximal sequential patterns
In this paper, two algorithms for discovering all the Maximal Sequential Patterns (MSP) in a document collection and in a single document are presented. The proposed algorithms follow the “pattern-growth strategy” where small frequent sequences are found first with the goal of growing them to obtain MSP. Our algorithms process the documents in an incremental way avoiding re-computing all the MSP when new documents are added. Experiments showing the performance of our algorithms and comparing against GSP, DELISP, GenPrefixSpan and cSPADE algorithms over public standard databases are also presented.
Informatica
2010
Artículo
Inglés
Estudiantes
Investigadores
Público en general
García-Hernández, R.A., et al., (2010). Finding maximal sequential patterns in text document collections and single, Informatica, (34): 93–101
CIENCIA DE LOS ORDENADORES
Versión aceptada
acceptedVersion - Versión aceptada
Aparece en las colecciones: Artículos de Ciencias Computacionales

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