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Intelligent Business Analytics: Harnessing the Power of Soft Computing for Data-Driven Insights explores the transformative role of soft computing methods in improving business analytics. It looks at how intelligent analytical methods can be applied to complex business data to derive meaningful insight. It focuses on integrating such intelligent technologies as neural networks, fuzzy logic, genetic algorithms, AI, machine learning, and deep learning, to data analytics. The book examines:
Other topics include predictive analytics, customer segmentation, real-time decision support systems, and soft computing to handle uncertainty, ambiguity, and dynamic data environments. Each chapter provides theory as well as an applied example, making the book a roadmap on how to leverage computational intelligence in diverse areas of business decision-making.
Intelligent Business Analytics: Harnessing the Power of Soft Computing for Data-Driven Insights explores the transformative role of soft computing methods in improving business analytics. It looks at how intelligent analytical methods can be applied to complex business data to derive meaningful insight. It focuses on integrating such intelligent technologies as neural networks, fuzzy logic, genetic algorithms, AI, machine learning, and deep learning, to data analytics. The book examines:
Other topics include predictive analytics, customer segmentation, real-time decision support systems, and soft computing to handle uncertainty, ambiguity, and dynamic data environments. Each chapter provides theory as well as an applied example, making the book a roadmap on how to leverage computational intelligence in diverse areas of business decision-making.
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