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Machine Learning Techniques for Improved Business Analytics -

Machine Learning Techniques for Improved Business Analytics

Dileep Kumar G. (Herausgeber)

Buch | Hardcover
286 Seiten
2018
IGI Global (Verlag)
978-1-5225-3534-8 (ISBN)
CHF 336,90 inkl. MwSt
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Presents a collection of innovative research on the applications of artificial intelligence in strategic business decisions and management. Featuring coverage on a broad range of topics such as data mining, portfolio optimization, and social network analysis, this book is designed for business managers and practitioners, upper-level business students, and researchers seeking current research.
Analytical tools and algorithms are essential in business data and information systems. Efficient economic and financial forecasting in machine learning techniques increases gains while reducing risks. Providing research on predictive models with high accuracy, stability, and ease of interpretation is important in improving data preparation, analysis, and implementation processes in business organizations.

Machine Learning Techniques for Improved Business Analytics is a collection of innovative research on the methods and applications of artificial intelligence in strategic business decisions and management. Featuring coverage on a broad range of topics such as data mining, portfolio optimization, and social network analysis, this book is ideally designed for business managers and practitioners, upper-level business students, and researchers seeking current research on large-scale information control and evaluation technologies that exceed the functionality of conventional data processing techniques.
Erscheinungsdatum
Verlagsort Hershey
Sprache englisch
Maße 178 x 254 mm
Gewicht 780 g
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Mathematik / Informatik Mathematik Finanz- / Wirtschaftsmathematik
Wirtschaft Betriebswirtschaft / Management Unternehmensführung / Management
ISBN-10 1-5225-3534-9 / 1522535349
ISBN-13 978-1-5225-3534-8 / 9781522535348
Zustand Neuware
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