Computational Intelligence For Modern Business Systems

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Computational Intelligence for Modern Business Systems

Author : Sandeep Kautish,Prasenjit Chatterjee,Dragan Pamucar,N. Pradeep,Deepmala Singh
Publisher : Springer Nature
Page : 523 pages
File Size : 51,6 Mb
Release : 2023-12-05
Category : Technology & Engineering
ISBN : 9789819953547

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Computational Intelligence for Modern Business Systems by Sandeep Kautish,Prasenjit Chatterjee,Dragan Pamucar,N. Pradeep,Deepmala Singh Pdf

This book covers the applications of computational intelligence techniques in business systems and advocates how these techniques are useful in modern business operations. The book redefines the computational intelligence foundations, the three pillars - neural networks, evolutionary computation, and fuzzy systems. It also discusses emerging areas such as swarm intelligence, artificial immune systems (AIS), support vector machines, rough sets, and chaotic systems. The other areas have also been demystified in the book to strengthen the range of computational intelligence techniques such as expert systems, knowledge-based systems, and genetic algorithms. Therefore, this book will redefine the role of computational intelligence techniques in modern business system operations such as marketing, finance & accounts, operations, personnel management, supply chain management, and logistics. Besides, this book guides the readers through using them to model, discover, and interpret new patterns that cannot be found through statistical methods alone in various business system operations. This book reveals how computational intelligence can inform the design and integration of services, architecture, brand identity, and product portfolio across the entire enterprise. The book will provide insights into research gaps, open challenges, and unsolved computational intelligence problems. The book will act as a premier reference and instant material for all the users who are contributing/practicing the adaptation of computational intelligence modern techniques in business systems.

Computational Intelligence for Business Analytics

Author : Witold Pedrycz,Luis Martínez,Rafael Alejandro Espin-Andrade,Gilberto Rivera,Jorge Marx Gómez
Publisher : Springer Nature
Page : 417 pages
File Size : 55,5 Mb
Release : 2021-10-26
Category : Technology & Engineering
ISBN : 9783030738198

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Computational Intelligence for Business Analytics by Witold Pedrycz,Luis Martínez,Rafael Alejandro Espin-Andrade,Gilberto Rivera,Jorge Marx Gómez Pdf

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.

Business Applications and Computational Intelligence

Author : Kevin E. Voges,Nigel Pope
Publisher : IGI Global
Page : 481 pages
File Size : 49,6 Mb
Release : 2006-01-01
Category : Computers
ISBN : 9781591407041

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Business Applications and Computational Intelligence by Kevin E. Voges,Nigel Pope Pdf

"This book deals with the computational intelligence field, particularly business applications adopting computational intelligence techniques"--Provided by publisher.

Computational Intelligence in Business Analytics

Author : Les Sztandera
Publisher : FT Press
Page : 128 pages
File Size : 49,8 Mb
Release : 2014-05-26
Category : Computers
ISBN : 9780133552133

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Computational Intelligence in Business Analytics by Les Sztandera Pdf

Use computational intelligence to drive more value from business analytics, overcome real-world uncertainties and complexities, and make better decisions. Drawing on his pioneering experience as an instructor and researcher, Dr. Les Sztandera thoroughly illuminates today's key computational intelligence tools, knowledge, and strategies for analysis, exploration, and knowledge generation. Sztandera demystifies artificial neural networks, genetic algorithms, and fuzzy systems, and guides you through using them to model, discover, and interpret new patterns that can't be found through statistical methods alone. Packed with relevant case studies and examples, this guide demonstrates: Customer segmentation for direct marketing Customer profiling for relationship management Efficient mailing campaigns Customer retention Identification of cross-selling opportunities Credit score analysis Detection of fraudulent behavior and transactions Hedge fund strategies, and more Szandera shows how computational intelligence can inform the design and integration of services, architecture, brand identity, and product portfolio across the entire enterprise. He also shows how to complement computational intelligence with visualization, explorative interfaces and advanced reporting, thereby empowering business users and enterprise stakeholders to take full advantage of it. For analytics professionals, managers, and students.

Illustrated Computational Intelligence

Author : Priti Srinivas Sajja
Publisher : Springer Nature
Page : 225 pages
File Size : 40,9 Mb
Release : 2020-11-16
Category : Technology & Engineering
ISBN : 9789811595899

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Illustrated Computational Intelligence by Priti Srinivas Sajja Pdf

This book presents a summary of artificial intelligence and machine learning techniques in its first two chapters. The remaining chapters of the book provide everything one must know about the basic artificial intelligence to modern machine intelligence techniques including the hybrid computational intelligence technique, using the concepts of several real-life solved examples, design of projects and research ideas. The solved examples with more than 200 illustrations presented in the book are a great help to instructors, students, non–AI professionals, and researchers. Each example is discussed in detail with encoding, normalization, architecture, detailed design, process flow, and sample input/output. Summary of the fundamental concepts with solved examples is a unique combination and highlight of this book.

Computational Intelligence Techniques for Combating COVID-19

Author : Sandeep Kautish,Sheng-Lung Peng,Ahmed J. Obaid
Publisher : Springer Nature
Page : 392 pages
File Size : 48,9 Mb
Release : 2021
Category : Biomedical engineering
ISBN : 9783030689360

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Computational Intelligence Techniques for Combating COVID-19 by Sandeep Kautish,Sheng-Lung Peng,Ahmed J. Obaid Pdf

This book presents the latest cutting edge research, theoretical methods, and novel applications in the field of computational intelligence and computational biological approaches that are aiming to combat COVID-19. The book gives the technological key drivers behind using AI to find drugs that target the virus, shedding light on the structure of COVID-19, detecting the outbreak and spread of new diseases, spotting signs of a COVID-19 infection in medical images, monitoring how the virus and lockdown is affecting mental health, and forecasting how COVID-19 cases and deaths will spread across cities and why. Further, the book helps readers understand computational intelligence techniques combating COVID-19 in a simple and systematic way. Provides a comprehensive reference covering innovations and development of theories, conceptual models and computational algorithms focused on COVID-19; Asserts all relevant research, key themes, complex adaptive systems, metrics and paradigms dedicated towards COVID-19, enabled with evolutionary methods of computational sciences; Explores how AI and computational techniques can help to predict which patients with the virus would go on to develop Acute Respiratory Distress Syndrome (ARDS).

Applications of Artificial Intelligence in Business and Finance

Author : Vikas Garg,Shalini Aggarwal,Pooja Tiwari,Prasenjit Chatterjee
Publisher : CRC Press
Page : 272 pages
File Size : 46,9 Mb
Release : 2021-12-23
Category : Science
ISBN : 9781000290417

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Applications of Artificial Intelligence in Business and Finance by Vikas Garg,Shalini Aggarwal,Pooja Tiwari,Prasenjit Chatterjee Pdf

As transactions and other business functions move online and grow more popular every year, the finance and banking industries face increasingly complex data management and identity theft and fraud issues. AI can bring many financial and business functions to the next level, as systems using deep learning technologies are able to analyze patterns and spot suspicious behavior and potential fraud. In this volume, the focus is on the application of artificial intelligence in finance, business, and related areas. The book presents a selection of chapters presenting cutting-edge research on current business practices in finance and management. Topics cover the use of AI in e-commerce systems, financial services, fraud prevention, identifying loan-eligible customers, online business, Facebook social commerce, insurance industry, online marketing, and more.

Computational Intelligence Applications in Business Intelligence and Big Data Analytics

Author : Vijayan Sugumaran,Arun Kumar Sangaiah,Arunkumar Thangavelu
Publisher : CRC Press
Page : 591 pages
File Size : 54,9 Mb
Release : 2017-06-26
Category : Computers
ISBN : 9781351720243

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Computational Intelligence Applications in Business Intelligence and Big Data Analytics by Vijayan Sugumaran,Arun Kumar Sangaiah,Arunkumar Thangavelu Pdf

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.

Artificial Intelligence for Business

Author : John Medicine
Publisher : Unknown
Page : 266 pages
File Size : 45,9 Mb
Release : 2020-10-07
Category : Electronic
ISBN : 1914053028

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Artificial Intelligence for Business by John Medicine Pdf

Do you want to learn about Artificial Intelligence and Machine Learning and how they are revolutionizing Life, Health Care, Business and Marketing? Do you want to modernize your business and marketing strategies to be ahead of competitors by applying Artificial Intelligence to it? If so then keep reading. Artificial intelligence technology has become so common that many people do not realize that AI is already a part of their lives. Businesses use AI in many realms, including predictive analytics, product pricing, and marketing. In healthcare, artificial intelligence can be used in medical image analysis, language processing in dictation, and automated healthcare services. Because of machine learning capabilities in AI, any data that artificial intelligence is provided with can be used to learn and to make new, unexpected predictions and recommendations. In this book, the reader will understand not only how AI works, but will also learn how machine learning is revolutionizing the industry. Artificial intelligence technology has progressed so fast that many business leaders find themselves faced with the task of integrating all this new tech into how they do business. This can be a challenge for leaders and others whose core business function is not directly related to AI or computer science. AI can be simply applied to business marketing strategies, social media engagement, and a host of other business functions. These AI applications can be accomplished no matter what the skill level of the user is. Artificial Intelligence for Business: A Modern Business Approach will teach readers how they can benefit from the AI wave to keep themselves and their business endeavors up to date. Business data and AI are linked together so that the Business and the technology evolve together. Business leaders are faced left with the question of how to bring artificial intelligence into their business, and sometimes this is as simple as recording data measures electronically so that AI can access it and use it to make powerful recommendations. As the intelligence demonstrated by machines, AI will become more prominent and important as AI capabilities increase. From a practical standpoint, this means that businesses are faced with the reality of incorporating AI into their operations now or being left so far behind that they will be relegated to playing an endless game of catchup. In Artificial Intelligence for Business: A Modern Business Approach, readers will learn not only the business strategies they can use to keep up with artificial intelligence, but the many powerful applications that AI can have in business, from automation of business processes and machine learning, to predicting customer behavior and product pricing. You will learn: - How Machine Learning works - AI Models and Networks - AI applied to complicated Tasks - How apply AI to your Marketing - The secret of Big Tech companies - Insights into AI Systems - How to build AI strategies for your business - How to build Machine Learning Models - How to apply AI to Marketing and Social Media - 10 AI Trends for Businesses ...and more! Even if you don't know anything about Artificial Intelligence and Machine Learning, your education in AI, so that you can use it to accomplish all your business goals, begins here! Click the Buy Now button to get started!

Advances in Computational Intelligence Systems

Author : Thomas Jansen,Richard Jensen,Neil Mac Parthaláin,Chih-Min Lin
Publisher : Springer Nature
Page : 579 pages
File Size : 41,8 Mb
Release : 2021-11-17
Category : Technology & Engineering
ISBN : 9783030870942

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Advances in Computational Intelligence Systems by Thomas Jansen,Richard Jensen,Neil Mac Parthaláin,Chih-Min Lin Pdf

This book contains the papers presented at the 20th UK Workshop on Computational Intelligence (UKCI 2021), held virtually by Aberystwyth University, 8–10th September 2021. This marks the 20th anniversary of UKCI; a testament to the increasing role and importance of Computational Intelligence (CI) and the continuing interest in its development. UKCI provides a forum for the academic community and industry to share ideas and experience in this field. EDMA 2021, the 4th International Engineering Data- and Model-Driven Applications workshop, is also incorporated and held in conjunction with UKCI 2021. Paper submissions were invited in the areas of fuzzy systems, neural networks, evolutionary computation, machine learning, data mining, cognitive computing, intelligent robotics, hybrid methods, deep learning and applications of CI.

The Leading Practice of Decision Making in Modern Business Systems

Author : Elena G. Popkova,Alina V. Chesnokova
Publisher : Emerald Group Publishing
Page : 208 pages
File Size : 51,6 Mb
Release : 2019-12-02
Category : Business & Economics
ISBN : 9781838674755

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The Leading Practice of Decision Making in Modern Business Systems by Elena G. Popkova,Alina V. Chesnokova Pdf

Concentrating on the Russian model, this book reflects the leading practical experience of decision making in modern business systems and presents innovative technologies and perspectives to optimize this process.

Business Intelligence and Big Data

Author : Celina M. Olszak
Publisher : CRC Press
Page : 178 pages
File Size : 47,9 Mb
Release : 2020-11-17
Category : Computers
ISBN : 9781000218282

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Business Intelligence and Big Data by Celina M. Olszak Pdf

The twenty-first century is a time of intensifying competition and progressive digitization. Individual employees, managers, and entire organizations are under increasing pressure to succeed. The questions facing us today are: What does success mean? Is success a matter of chance and luck or perhaps is success a category that can be planned and properly supported? Business Intelligence and Big Data: Drivers of Organizational Success examines how the success of an organization largely depends on the ability to anticipate and quickly respond to challenges from the market, customers, and other stakeholders. Success is also associated with the potential to process and analyze a variety of information and the means to use modern information and communication technologies (ICTs). Success also requires creative behaviors and organizational cleverness from an organization. The book discusses business intelligence (BI) and Big Data (BD) issues in the context of modern management paradigms and organizational success. It presents a theoretically and empirically grounded investigation into BI and BD application in organizations and examines such issues as: Analysis and interpretation of the essence of BI and BD Decision support Potential areas of BI and BD utilization in organizations Factors determining success with using BI and BD The role of BI and BD in value creation for organizations Identifying barriers and constraints related to BI and BD design and implementation The book presents arguments and evidence confirming that BI and BD may be a trigger for making more effective decisions, improving business processes and business performance, and creating new business. The book proposes a comprehensive framework on how to design and use BI and BD to provide organizational success.

Modern Artificial Intelligence and Data Science

Author : Abdellah Idrissi
Publisher : Springer Nature
Page : 321 pages
File Size : 42,7 Mb
Release : 2023-08-25
Category : Computers
ISBN : 9783031333095

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Modern Artificial Intelligence and Data Science by Abdellah Idrissi Pdf

This Book, through its various chapters presenting the Recent Advances in Modern Artificial Intelligence and Data Science as well as their Applications, aims to set up lasting and real applications necessary for both academics and professionals. Readers find here the fruit of many research ideas covering a wide range of application areas that can be explored for the advancement of their research or the development of their business. These ideas present new techniques and trends projected in various areas of daily life. Through its proposals of new ideas, this Book serves as a real guide both for experienced readers and for beginners in these specialized fields. It also covers several applications that explain how they can support some societal challenges such as education, health, agriculture, clean energy, business, environment, security and many more. This Book is therefore intended for Designers, Developers, Decision-Makers, Consultants, Engineers, and of course Master's/Doctoral Students, Researchers and Academics.

Decision Support for Product Development

Author : Marcin Relich
Publisher : Springer Nature
Page : 124 pages
File Size : 54,5 Mb
Release : 2020-11-22
Category : Computers
ISBN : 9783030438975

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Decision Support for Product Development by Marcin Relich Pdf

This book describes how to use computational intelligence and artificial intelligence tools to improve the decision-making process in new product development. These approaches, including artificial neural networks and constraint satisfaction solutions, enable a more precise prediction of product development performance compared to widely used multiple regression models. They support decision-makers by providing more reliable information regarding, for example, project portfolio selection and project scheduling. The book is appropriate for computer scientists, management scientists, students and practitioners engaged with product innovation and computational intelligence applications.

Multidisciplinary Computational Intelligence Techniques

Author : Shawkat Ali,Noureddine Abbadeni,Mohamed Batouche
Publisher : Unknown
Page : 0 pages
File Size : 46,5 Mb
Release : 2012
Category : Computational intelligence
ISBN : 1466618302

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Multidisciplinary Computational Intelligence Techniques by Shawkat Ali,Noureddine Abbadeni,Mohamed Batouche Pdf

"This book explores the complex world of computational intelligence, which utilizes computational methodologies such as fuzzy logic systems, neural networks, and evolutionary computation for the purpose of managing and using data effectively to address complicated real-world problems"--