Use of classification algorithm under data mining for managing asthma. Este artículo no está disponible.
Idioma: inglés
Editorial: LAP LAMBERT Academic Publishing, 2013
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Librería: preigu, Osnabrück, Alemaniapreigu
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Use of classification algorithm under data mining for managing asthma | Suvarna Pawar | Taschenbuch | 148 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659319594 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
N° de ref. del artículo 106050490
- Título
- Use of classification algorithm under data mining for managing asthma
- Autor
- Suvarna Pawar
- Editorial
- LAP LAMBERT Academic Publishing
- Año de publicación
- 2013
- Estado
- Neu
- Encuadernación
- Taschenbuch
- Idioma
- inglés
- ISBN 10
- 3659319597
- ISBN 13
- 9783659319594
- Peso del artículo
- 238 gramos
- Dimensiones
- 220 x 150 x 10 mm
- Catálogos de vendedores
- Bücher
Under the area of data mining where we have to extract the hidden patterns from huge amount of data. Data mining is very popular tool to transform the data into important information. In this article we mainly focus on management of asthma disease in childhood by considering various age groups and studying best possible treatment using C4.5 algorithm. Facing the huge amounts of data, the classification algorithm puts an efficient, robust technique for studying best possible treatment for the disease like asthma. In this session we are following three major steps preprocessing, classification and results in the form of decision tree. At the end, results were gathered through a decision tree if dependent variable is satisfying the given conditions.
“Sinopsis” puede pertenecer a otra edición de este título.
Reseña del editor
Under the area of data mining where we have to extract the hidden patterns from huge amount of data. Data mining is very popular tool to transform the data into important information. In this article we mainly focus on management of asthma disease in childhood by considering various age groups and studying best possible treatment using C4.5 algorithm. Facing the huge amounts of data, the classification algorithm puts an efficient, robust technique for studying best possible treatment for the disease like asthma. In this session we are following three major steps preprocessing, classification and results in the form of decision tree. At the end, results were gathered through a decision tree if dependent variable is satisfying the given conditions.
“Acerca de” puede pertenecer a otra edición de este título.