Document clustering with evolutionary systems through Straight-Line Programs 'slp'

Autor:	Castillo Sequera, José Luis, Fernández del Castillo Díez, José Raúl, González Sotos, León Atilano
Přispěvatelé:	Universidad de Alcalá. Departamento de Ciencias de la Computación
Jazyk:	angličtina
Rok vydání:	2012
Předmět:	Informática Genetic Algorithm Data Mining Straight Line Programs Computer science Clustering
Zdroj:	e_Buah Biblioteca Digital Universidad de Alcalá instname
Popis:	In this paper, we show a clustering method supported on evolutionary algorithms with the paradigm of linear genetic programming. "The Straight-Line Programs (slp)", which uses a data structure which will be useful to represent collections of documents. This data structure can be seen as a linear representation of programs, as well as representations in the form of graphs. It has been used as a theoretical model in Computer Algebra, and our purpose is to reuse it in a completely different context. In this case, we apply it to the field of grouping library collections through evolutionary algorithms. We show its efficiency with experimental data we got from traditional library collections.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::2038823d0b68036cb6afed3a70180f4b https://hdl.handle.net/10017/43684 Zobrazit plný text záznamu