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Data mining for business applications /

Data mining is already incorporated into the business processes in many sectors such as health, retail, automotive, finance, telecom and insurance as well as in government. This technology is well established in applications such as targeted marketing, customer churn detection and market basket anal...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Soares, Carlos, Ghani, Rayid
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Amsterdam ; Washington, DC : IOS Press, ©2010.
Colección:Frontiers in artificial intelligence and applications ; v. 218.
Temas:
Acceso en línea:Texto completo

MARC

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500 |a Includes indexes. 
504 |a Includes bibliographical references and indexes. 
505 0 |a pt. 1. Data mining methodology -- pt. 2. Data mining applications of today -- pt. 3. Data mining applications of tomorrow. 
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520 |a Data mining is already incorporated into the business processes in many sectors such as health, retail, automotive, finance, telecom and insurance as well as in government. This technology is well established in applications such as targeted marketing, customer churn detection and market basket analysis. It is also emerging as an important technology in a wide range of new application areas, such as social media, social networks and sensor networks. These areas pose new challenges both in terms of the nature of available data and the underlying support technology. This book contains extended v. 
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