A practical guide to data mining for business and industry /

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"Data mining is well on its way to becoming a recognized discipline in the overlapping areas of IT, statistics, machine learning, and AI. Practical Data Mining for Business presents a user-friendly approach to data mining methods, covering the typical uses to which it is applied. The methodolog...

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Détails bibliographiques
Cote:Libro Electrónico
Auteur principal: Ahlemeyer-Stubbe, Andrea
Format: Électronique eBook
Langue:Inglés
Publié: Chichester, West Sussex, United Kingdom : John Wiley & Sons Inc., 2014.
Sujets:
Data mining.
Marketing > Data processing.
Management > Mathematical models.
Data Mining
Exploration de données (Informatique)
Marketing > Informatique.
Gestion > Modèles mathématiques.
COMPUTERS > General.
Data mining
Management > Mathematical models
Marketing > Data processing
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