Utilizing an enhanced cellular automata model for data mining

Data mining deals with clustering and classifying large amounts of data, in order to discover new knowledge from the existent data by identifying correlations and relationships between various data-sets. Cellular automata have been used before for classification purposes. This paper presents a cellu...

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Detalles Bibliográficos
Autores: Adwan, Omar, Huneiti, Ammar, Ayyal Awwad, Aiman, Al Damari, Ibrahim, Ortega de la Puente, Alfonso, Abu Dalhoum, Abdel Latif, Alfonseca Moreno, Manuel
Tipo de recurso: artículo
Fecha de publicación:2013
País:España
Institución:Universidad Autónoma de Madrid
Repositorio:Biblos-e Archivo. Repositorio Institucional de la UAM
Idioma:inglés
OAI Identifier:oai:repositorio.uam.es:10486/666491
Acceso en línea:http://hdl.handle.net/10486/666491
Access Level:acceso abierto
Palabra clave:Cellular Automata
Clustering
Classification
Data Mining
Moore Neighborhood
Informática
Descripción
Sumario:Data mining deals with clustering and classifying large amounts of data, in order to discover new knowledge from the existent data by identifying correlations and relationships between various data-sets. Cellular automata have been used before for classification purposes. This paper presents a cellular automata enhanced classification algorithm for data mining. Experimental results show that the proposed enhancement gives better performance in terms of accuracy and execution time than previous work using cellular automata.

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