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Big Data Quantification for Complex Decision-Making
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![](/rcimages/rc200big.jpg) (Buch) |
Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!
Lieferstatus: |
Auf Bestellung (Lieferzeit unbekannt) |
Veröffentlichung: |
April 2024
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Genre: |
Wirtschaft / Recht |
ISBN: |
9798369315828 |
EAN-Code:
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9798369315828 |
Verlag: |
IGI Global |
Einband: |
Gebunden |
Sprache: |
English
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Dimensionen: |
H 286 mm / B 221 mm / D 23 mm |
Gewicht: |
1109 gr |
Seiten: |
336 |
Zus. Info: |
HC gerader Rücken kaschiert |
Bewertung: |
Titel bewerten / Meinung schreiben
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Inhalt: |
Many professionals are facing a monumental challenge: navigating the intricate landscape of information to make impactful choices. The sheer volume and complexity of big data have ushered in a shift, demanding innovative methodologies and frameworks. Big Data Quantification for Complex Decision-Making tackles this challenge head-on, offering a comprehensive exploration of the tools necessary to distill valuable insights from datasets. This book serves as a tool for professionals, researchers, and students, empowering them to not only comprehend the significance of big data in decision-making but also to translate this understanding into real-world decision making. The central objective of the book is to examine the relationship between big data and decision-making. It strives to address multiple objectives, including understanding the intricacies of big data in decision-making, navigating methodological nuances, managing uncertainty adeptly, and bridging theoretical foundations with real-world applications. The book's core aspiration is to provide readers with a comprehensive toolbox, seamlessly integrating theoretical frameworks, practical applications, and forward-thinking perspectives. This equips readers with the means to effectively navigate the data-rich landscape of modern decision-making, fostering a heightened comprehension of strategic big data utilization. Tailored for a diverse audience, this book caters to researchers and academics in data science, decision science, machine learning, artificial intelligence, and related domains. |
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