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

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Библиографические подробности
Главный автор: Berry, Michael J. A.
Другие авторы: Linoff, Gordon.
Формат: Sách giấy
Опубликовано: Indianapolis, Ind. : Wiley Pub., c2004.
Редактирование:2nd ed.
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Online-ссылка:Table of contents
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Thư viện lưu trữ: Thư viện Trường Đại học Đà Lạt
Оглавление:
  • 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.