Data mining techniques : for marketing, sales, and customer relationship management /

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* Packed with more than forty percent new and updated material, this edition shows business managers, marketing analysts, and data mining specialists how to harness fundamental data mining methods and techniques to solve common types of business problems* Each chapter covers a new data mining techni...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Berry, Michael J. A.
Otros Autores: Linoff, Gordon
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Indianapolis : Wiley, ©2004.
Edición:2nd ed.
Temas:
Data mining.
Marketing > Data processing.
Business > Data processing.
Data Mining
Exploration de données (Informatique)
Marketing > Informatique.
Gestion > Informatique.
BUSINESS & ECONOMICS > Green Business.
Business > Data processing
Data mining
Marketing > Data processing
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Why and what is data mining?
  • The virtuous cycle of data mining
  • Data mining methodology and best practices
  • Data mining applications in marketing and customer relationship management
  • The lure of statistics : data mining using familiar tools
  • Decision trees
  • Artificial neural networks
  • Nearest neighbor approaches : memory-based reasoning and collaborative filtering
  • Market basket analysis and association rules
  • Link analysis
  • Automatic cluster detection
  • Knowing when to worry : hazard functions and survival analysis in marketing
  • Genetic algorithms
  • Data mining throughout the customer life cycle
  • Data warehousing, OLAP, and data mining
  • Building the data mining environment
  • Preparing data for mining
  • Putting data mining to work.

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