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Computational Intelligence for Business Analytics

2021-10-26 Technology & Engineering
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Release : 2021-10-26
Genre : Technology & Engineering
Kind : eBook
Book Rating : 191/5 ( reviews)

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Book Synopsis Computational Intelligence for Business Analytics by : Witold Pedrycz

Download or read book Computational Intelligence for Business Analytics written by Witold Pedrycz. This book was released on 2021-10-26. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Computational Intelligence in Business Analytics

2014 Business & Economics
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Release : 2014
Genre : Business & Economics
Kind : eBook
Book Rating : 08X/5 ( reviews)

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Book Synopsis Computational Intelligence in Business Analytics by : Les Sztandera

Download or read book Computational Intelligence in Business Analytics written by Les Sztandera. This book was released on 2014. Available in PDF, EPUB and Kindle. Book excerpt: Using computational intelligence methods, you can drive far more value from business analytics, and account far more effectively for the real-world uncertainties and complexities you face in making key decisions. This text teaches you the computational intelligence concepts and methods you need to fully leverage these powerful techniques. This book illuminates today's key computational intelligence tools, knowledge, and strategies for analysis, exploration, and knowledge generation. This text demystifies artificial neural networks, genetic algorithms, and fuzzy systems, and guides you through using them to model, discover, and interpret new patterns that cannot be found through statistical methods alone. To demonstrate these techniques at work, this book is packed with relevant case studies and examples.

Computational Intelligence Applications in Business Intelligence and Big Data Analytics

2017-06-26 Computers
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Release : 2017-06-26
Genre : Computers
Kind : eBook
Book Rating : 252/5 ( reviews)

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Book Synopsis Computational Intelligence Applications in Business Intelligence and Big Data Analytics by : Vijayan Sugumaran

Download or read book Computational Intelligence Applications in Business Intelligence and Big Data Analytics written by Vijayan Sugumaran. This book was released on 2017-06-26. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Computational Intelligence and Big Data Analytics

2018-09-08 Technology & Engineering
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Release : 2018-09-08
Genre : Technology & Engineering
Kind : eBook
Book Rating : 447/5 ( reviews)

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Book Synopsis Computational Intelligence and Big Data Analytics by : Ch. Satyanarayana

Download or read book Computational Intelligence and Big Data Analytics written by Ch. Satyanarayana. This book was released on 2018-09-08. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights major issues related to big data analysis using computational intelligence techniques, mostly interdisciplinary in nature. It comprises chapters on computational intelligence technologies, such as neural networks and learning algorithms, evolutionary computation, fuzzy systems and other emerging techniques in data science and big data, ranging from methodologies, theory and algorithms for handling big data, to their applications in bioinformatics and related disciplines. The book describes the latest solutions, scientific results and methods in solving intriguing problems in the fields of big data analytics, intelligent agents and computational intelligence. It reflects the state of the art research in the field and novel applications of new processing techniques in computer science. This book is useful to both doctoral students and researchers from computer science and engineering fields and bioinformatics related domains.

A Primer on Business Analytics

2022-01-01 Computers
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Release : 2022-01-01
Genre : Computers
Kind : eBook
Book Rating : 209/5 ( reviews)

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Book Synopsis A Primer on Business Analytics by : Yudhvir Seetharam

Download or read book A Primer on Business Analytics written by Yudhvir Seetharam. This book was released on 2022-01-01. Available in PDF, EPUB and Kindle. Book excerpt: This book will provide a comprehensive overview of business analytics, for those who have either a technical background (quantitative methods) or a practitioner business background. Business analytics, in the context of the 4th Industrial Revolution, is the “new normal” for businesses that operate in this digital age. This book provides a comprehensive primer and overview of the field (and related fields such as Business Intelligence and Data Science). It will discuss the field as it applies to financial institutions, with some minor departures to other industries. Readers will gain understanding and insight into the field of data science, including traditional as well as emerging techniques. Further, many chapters are dedicated to the establishment of a data-driven team – from executive buy-in and corporate governance to managing and quantifying the return of data-driven projects.

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