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Aggiungi al carrelloHardcover. Condizione: Brand New. 206 pages. 9.25x6.10x9.21 inches. In Stock.
Editore: Springer Verlag, Singapore, SG, 2024
ISBN 10: 9819747716 ISBN 13: 9789819747719
Lingua: Inglese
Da: Rarewaves.com UK, London, Regno Unito
EUR 75,48
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Aggiungi al carrelloHardback. Condizione: New. 2024 ed. This book provides an overview of data mining methods in the field of business. Business management faces challenges in serving customers in better ways, in identifying risks, and analyzing the impact of decisions. Of the three types of analytic tools, descriptive analytics focuses on what has happened and predictive analytics extends statistical and/or artificial intelligence to provide forecasting capability. Chapter 1 provides an overview of business management problems. Chapter 2 describes how analytics and knowledge management have been used to better cope with these problems. Chapter 3 describes initial data visualization tools. Chapter 4 describes association rules and software support. Chapter 5 describes cluster analysis with software demonstration. Chapter 6 discusses time series analysis with software demonstration. Chapter 7 describes predictive classification data mining tools. Applications of the context of management are presented in Chapter 8. Chapter 9 covers prescriptive modeling in business and applications of artificial intelligence.
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Editore: Springer, Berlin|Springer Nature Singapore|Springer, 2024
ISBN 10: 9819747716 ISBN 13: 9789819747719
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ISBN 10: 9819747716 ISBN 13: 9789819747719
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Aggiungi al carrelloHardback. Condizione: New. 2024 ed. This book provides an overview of data mining methods in the field of business. Business management faces challenges in serving customers in better ways, in identifying risks, and analyzing the impact of decisions. Of the three types of analytic tools, descriptive analytics focuses on what has happened and predictive analytics extends statistical and/or artificial intelligence to provide forecasting capability. Chapter 1 provides an overview of business management problems. Chapter 2 describes how analytics and knowledge management have been used to better cope with these problems. Chapter 3 describes initial data visualization tools. Chapter 4 describes association rules and software support. Chapter 5 describes cluster analysis with software demonstration. Chapter 6 discusses time series analysis with software demonstration. Chapter 7 describes predictive classification data mining tools. Applications of the context of management are presented in Chapter 8. Chapter 9 covers prescriptive modeling in business and applications of artificial intelligence.
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Editore: Springer Verlag, Singapore, SG, 2024
ISBN 10: 9819747716 ISBN 13: 9789819747719
Lingua: Inglese
Da: Rarewaves USA, OSWEGO, IL, U.S.A.
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Aggiungi al carrelloHardback. Condizione: New. 2024 ed. This book provides an overview of data mining methods in the field of business. Business management faces challenges in serving customers in better ways, in identifying risks, and analyzing the impact of decisions. Of the three types of analytic tools, descriptive analytics focuses on what has happened and predictive analytics extends statistical and/or artificial intelligence to provide forecasting capability. Chapter 1 provides an overview of business management problems. Chapter 2 describes how analytics and knowledge management have been used to better cope with these problems. Chapter 3 describes initial data visualization tools. Chapter 4 describes association rules and software support. Chapter 5 describes cluster analysis with software demonstration. Chapter 6 discusses time series analysis with software demonstration. Chapter 7 describes predictive classification data mining tools. Applications of the context of management are presented in Chapter 8. Chapter 9 covers prescriptive modeling in business and applications of artificial intelligence.
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Editore: Springer Verlag, Singapore, SG, 2024
ISBN 10: 9819747716 ISBN 13: 9789819747719
Lingua: Inglese
Da: Rarewaves USA United, OSWEGO, IL, U.S.A.
EUR 86,80
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Aggiungi al carrelloHardback. Condizione: New. 2024 ed. This book provides an overview of data mining methods in the field of business. Business management faces challenges in serving customers in better ways, in identifying risks, and analyzing the impact of decisions. Of the three types of analytic tools, descriptive analytics focuses on what has happened and predictive analytics extends statistical and/or artificial intelligence to provide forecasting capability. Chapter 1 provides an overview of business management problems. Chapter 2 describes how analytics and knowledge management have been used to better cope with these problems. Chapter 3 describes initial data visualization tools. Chapter 4 describes association rules and software support. Chapter 5 describes cluster analysis with software demonstration. Chapter 6 discusses time series analysis with software demonstration. Chapter 7 describes predictive classification data mining tools. Applications of the context of management are presented in Chapter 8. Chapter 9 covers prescriptive modeling in business and applications of artificial intelligence.
EUR 87,35
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Aggiungi al carrelloPaperback. Condizione: Brand New. 206 pages. 9.25x6.10x9.25 inches. In Stock.
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Aggiungi al carrelloHardcover. Condizione: Brand New. 206 pages. 9.25x6.10x9.21 inches. In Stock.