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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 methodology is complemented by case studies to create a versatile reference book, allowing readers to look for specific methods as well as for specific applications. The book is formatted to allow statisticians, computer scientists, and economists to cross-reference from a particular application or method to sectors of interest.-- Publisher's website
Achat du livre
A Practical Guide to Data Mining for Business and Industry, Andrea Ahlemeyer-Stubbe
- Langue
- Année de publication
- 2014
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- (rigide)
Modes de paiement
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- Titre
- A Practical Guide to Data Mining for Business and Industry
- Langue
- Anglais
- Auteurs
- Andrea Ahlemeyer-Stubbe
- Éditeur
- Wiley, J
- Publié
- 2014
- Format
- rigide
- Pages
- 324
- ISBN10
- 1119977134
- ISBN13
- 9781119977131
- Séries
- Mots clés
- Nonfiction, Commerce, Affaires & Gestion
- Évaluation
- 3,5 sur 5
- Description
- 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 methodology is complemented by case studies to create a versatile reference book, allowing readers to look for specific methods as well as for specific applications. The book is formatted to allow statisticians, computer scientists, and economists to cross-reference from a particular application or method to sectors of interest.-- Publisher's website