Computational Intelligence Applications In Business Intelligence And Big Data Analytics


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Computational Intelligence Applications in Business Intelligence and Big Data Analytics


Computational Intelligence Applications in Business Intelligence and Big Data Analytics

Author: Vijayan Sugumaran

language: en

Publisher: CRC Press

Release Date: 2017-06-26


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There are a number of books on computational intelligence (CI), but they tend to cover a broad range of CI paradigms and algorithms rather than provide an in-depth exploration in learning and adaptive mechanisms. This book sets its focus on CI based architectures, modeling, case studies and applications in big data analytics, and business intelligence. The intended audiences of this book are scientists, professionals, researchers, and academicians who deal with the new challenges and advances in the specific areas mentioned above. Designers and developers of applications in these areas can learn from other experts and colleagues through this book.

E-Business


E-Business

Author: Robert M.X. Wu

language: en

Publisher: BoD – Books on Demand

Release Date: 2021-05-19


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This book provides the latest viewpoints of scientific research in the field of e-business. It is organized into three sections: “Higher Education and Digital Economy Development”, “Artificial Intelligence in E-Business”, and “Business Intelligence Applications”. Chapters focus on China’s higher education in e-commerce, digital economy development, natural language processing applications in business, Information Technology Governance, Risk and Compliance (IT GRC), business intelligence, and more.

Computational Intelligence Applications in Business Intelligence and Big Data Analytics


Computational Intelligence Applications in Business Intelligence and Big Data Analytics

Author: Vijayan Sugumaran

language: en

Publisher:

Release Date: 2017


DOWNLOAD





"There are a number of books on computational intelligence (CI), but they tend to cover a broad range of CI paradigms and algorithms rather than provide an in-depth exploration in learning and adaptive mechanisms. This book sets its focus on CI based architectures, modeling, case studies and applications in big data analytics, and business intelligence. The intended audiences of this book are scientists, professionals, researchers, and academicians who deal with the new challenges and advances in the specific areas mentioned above. Designers and developers of applications in these areas can learn from other experts and colleagues through this book."--Provided by publisher.