Computational Intelligence for Business Analytics: 953 1st ed. 2021 Edition

Computational Intelligence for Business Analytics: 953 1st ed. 2021 Edition book cover

Computational Intelligence for Business Analytics: 953 1st ed. 2021 Edition

Author(s): Witold Pedrycz (Editor), Luis Martínez (Editor), Rafael Alejandro Espin-Andrade (Editor), Gilberto Rivera (Editor), Jorge Marx Gómez (Editor)

  • Publisher: Springer
  • Publication Date: 27 Oct. 2022
  • Edition: 1st ed. 2021
  • Language: English
  • Print length: 432 pages
  • ISBN-10: 3030738213
  • ISBN-13: 9783030738211

Book Description

Corporate success has been changed by the importance of new developments in Business Analytics (BA) and furthermore by the support of computational intelligence- based techniques. This book opens a new avenues in these subjects, identifies key developments and opportunities. The book will be of interest for students, researchers and professionals to identify innovative ways delivered by Business Analytics based on computational intelligence solutions. They help elicit information, handle knowledge and support decision-making for more informed and reliable decisions even under high uncertainty environments.Computational Intelligence for Business Analytics has collected the latest technological innovations in the field of BA to improve business models related to Group Decision-Making, Forecasting, Risk Management, Knowledge Discovery, Data Breach Detection, Social Well-Being, among other key topics related to this field.

Editorial Reviews

From the Back Cover

Corporate success has been changed by the importance of new developments in Business Analytics (BA) and furthermore by the support of computational intelligence- based techniques. This book opens a new avenues in these subjects, identifies key developments and opportunities. The book will be of interest for students, researchers and professionals to identify innovative ways delivered by Business Analytics based on computational intelligence solutions. They help elicit information, handle knowledge and support decision-making for more informed and reliable decisions even under high uncertainty environments.Computational Intelligence for Business Analytics has collected the latest technological innovations in the field of BA to improve business models related to Group Decision-Making, Forecasting, Risk Management, Knowledge Discovery, Data Breach Detection, Social Well-Being, among other key topics related to this field.

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