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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
Autor Corporativo: IOS Press
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
Tabla de Contenidos:
  • Title page; Preface; Members of the Program Committees of the DMBiz Workshops; Contents; Data Mining for Business Applications: Introduction; Part 1. Data Mining Methodology; Interactivity Closes the Gap
  • Lessons Learned in an Automotive Industry Application; Best Practices for Predictive Analytics in B2B Financial Services; Towards the Generic Framework for Utility Considerations in Data Mining Research; Customer Validation of Commercial Predictive Models; Part 2. Data Mining Applications of Today; Customer Churn Prediction
  • A Case Study in Retail Banking.