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- Publisher: Business Science Reference
- ISBN-10: 1799890163
- ISBN-13: 9781799890164
- Format: 21.6 x 27.9 x 2.5 cm, kieti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
Handbook of Research on Foundations and Applications of Intelligent Business Analytics (e-book) (used book) | bookbook.eu
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Intelligent business analytics is an emerging technology that has become a mainstream market adopted broadly across industries, organizations, and geographic regions. Intelligent business analytics is a current focus for research and development across academia and industries and must be examined and considered thoroughly so businesses can apply the technology appropriately. The Handbook of Research on Foundations and Applications of Intelligent Business Analytics examines the technologies and applications of intelligent business analytics and discusses the foundations of intelligent analytics such as intelligent mining, intelligent statistical modeling, and machine learning. Covering topics such as augmented analytics and artificial intelligence systems, this major reference work is ideal for scholars, engineers, professors, practitioners, researchers, industry professionals, academicians, and students.
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- Publisher: Business Science Reference
- ISBN-10: 1799890163
- ISBN-13: 9781799890164
- Format: 21.6 x 27.9 x 2.5 cm, kieti viršeliai
- Language: English English
Intelligent business analytics is an emerging technology that has become a mainstream market adopted broadly across industries, organizations, and geographic regions. Intelligent business analytics is a current focus for research and development across academia and industries and must be examined and considered thoroughly so businesses can apply the technology appropriately. The Handbook of Research on Foundations and Applications of Intelligent Business Analytics examines the technologies and applications of intelligent business analytics and discusses the foundations of intelligent analytics such as intelligent mining, intelligent statistical modeling, and machine learning. Covering topics such as augmented analytics and artificial intelligence systems, this major reference work is ideal for scholars, engineers, professors, practitioners, researchers, industry professionals, academicians, and students.
Reviews