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Big Data Quantification for Complex Decision-Making

by Chao Zhang , Wentao Li
Save 17% Save 17%
Current price ₹29,851.00
Original price ₹35,822.00
Original price ₹35,822.00
Original price ₹35,822.00
(-17%)
₹29,851.00
Current price ₹29,851.00

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Book cover type: Paperback
  • ISBN13: 9798369363911
  • Binding: Paperback
  • Subject: N/A
  • Publisher: IGI Global
  • Publisher Imprint: IGI Global
  • Publication Date:
  • Pages: 336
  • Original Price: GBP 235.6
  • Language: English
  • Edition: N/A
  • Item Weight: 781 grams
  • BISAC Subject(s): Decision-Making & Problem Solving

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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