Cutting Edge Applications Of Computational Intelligence Tools And Techniques

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Cutting Edge Applications of Computational Intelligence Tools and Techniques

Author : Kevin Daimi
Publisher : Springer Nature
ISBN 13 : 3031441273
Total Pages : 355 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Cutting Edge Applications of Computational Intelligence Tools and Techniques by : Kevin Daimi

Download or read book Cutting Edge Applications of Computational Intelligence Tools and Techniques written by Kevin Daimi and published by Springer Nature. This book was released on 2023-11-30 with total page 355 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book delivers an excellent professional development resource for educators and practitioners on the cutting-edge computational intelligence techniques and applications. It covers many areas and topics of computational intelligence techniques and applications proposed by computational intelligence experts and researchers and furthers the enhancement of the community outreach and engagement component of computational intelligence techniques and applications. Furthermore, it presents a rich collection of manuscripts in highly regarded computational intelligence techniques and applications topics that have been creatively compiled. Computers are capable of learning from data and observations and providing solutions to real-life complex problems, following the same reasoning approach of human experts in various fields. This book endows a rich collection of applications in widespread areas. Among the areas addressed in this book are Computational Intelligence Principles and Techniques; CI in Manufacturing, Engineering, and Industry; CI in Recognition and Processing; CI in Robotics and Automation; CI in Communications and Networking; CI in Traditional Vehicles, Electric Vehicles, and Autonomous Vehicles; CI in Smart Cities and Smart Energy Systems; and CI in Finance, Business, Economics, and Education. These areas span many topics including repetitive manufacturing, discrete manufacturing, process manufacturing, electronic systems, speech recognition, pattern recognition, signal processing, image processing, industrial monitoring, vision systems for automation and robotics, cooperative and network robotics, perception, planning, control, urban traffic networks control, vehicle-to-roadside communications, smart buildings, smart urbanism, smart infrastructure, smart connected communities, smart energy, security, arts, and music.

Data Analytics and Computational Intelligence: Novel Models, Algorithms and Applications

Author : Gilberto Rivera
Publisher : Springer Nature
ISBN 13 : 3031383257
Total Pages : 597 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Data Analytics and Computational Intelligence: Novel Models, Algorithms and Applications by : Gilberto Rivera

Download or read book Data Analytics and Computational Intelligence: Novel Models, Algorithms and Applications written by Gilberto Rivera and published by Springer Nature. This book was released on 2023-10-20 with total page 597 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the age of transformative artificial intelligence (AI), which has the potential to revolutionize our lives, this book provides a comprehensive exploration of successful research and applications in AI and data analytics. Covering innovative approaches, advanced algorithms, and data analysis methodologies, this book addresses complex problems across topics such as machine learning, pattern recognition, data mining, optimization, and predictive modeling. With clear explanations, practical examples, and cutting-edge research, this book seeks to expand the understanding of a wide readership, including students, researchers, practitioners, and technology enthusiasts eager to explore these exciting fields. Featuring real-world applications in education, health care, climate modeling, cybersecurity, smart transportation, conversational systems, and material analysis, among others, this book highlights how these technologies can drive innovation and generate competitive advantages.

Artificial Intelligence and Deep Learning for Decision Makers

Author : Dr. Jagreet Kaur
Publisher : BPB Publications
ISBN 13 : 9389328683
Total Pages : 234 pages
Book Rating : 4.3/5 (893 download)

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Book Synopsis Artificial Intelligence and Deep Learning for Decision Makers by : Dr. Jagreet Kaur

Download or read book Artificial Intelligence and Deep Learning for Decision Makers written by Dr. Jagreet Kaur and published by BPB Publications. This book was released on 2019-12-28 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn modern-day technologies from modern-day technical giants DESCRIPTIONÊ The aim of this book is to help the readers understand the concept of artificial intelligence and deep learning methods and implement them into their businesses and organizations.Ê The first two chapters describe the introduction of the artificial intelligence and deep learning methods. In the first chapter, the concept of human thinking process, starting from the biochemical responses within the structure of neurons to the problem-solving steps through computational thinking skills are discussed. All chapters after the first two should be considered as the study of different technological and Artificial Intelligence giants of current age. These chapters are placed in a way that each chapter could be considered a separate study of a separate company, which includes the achievements of intelligent services currently provided by the company, discussion on the business model of the company towards the use of the deep learning technologies, the advancement of the web services which are incorporated with intelligent capability introduced by company, the efforts of the company in contributing to the development of the artificial intelligence and deep learning research. KEY FEATURES Real-world success and failure stories of artificial intelligence explained Understand concepts of artificial intelligence and deep learning methodsÊ Learn how to use artificial intelligence and deep learning methods Know how to prepare dataset and implement models using industry leading Python packagesÊ YouÕll be able to apply and analyze the results produced by the models for prediction WHAT WILL YOU LEARN How to use the algorithms written in the Python programming language to design models and perform predictions in general datasets Understand use cases in different industries related to the implementation of artificial intelligence and deep learning methods Learn the use of potential ideas in artificial intelligence and deep learning methods to improve the operational processes or new products and how services can be produced based on the methods WHO THIS BOOK IS FORÊ This book is targeted to business and organization leaders, technology enthusiasts, professionals, and managers who seek knowledge of artificial intelligence and deep learning methods. Table of Contents Artificial Intelligence and Deep Learning Data Science for Business Analysis Decision Making Intelligent Computing Strategies By GoogleÊ Cognitive Learning Services in IBM Watson Advancement web services by BaiduÊ Improved Social Business by Facebook Personalized Intelligent Computing by Apple Cloud Computing Intelligent by Microsoft

Reliability Engineering and Computational Intelligence

Author : Coen van Gulijk
Publisher : Springer Nature
ISBN 13 : 3030745562
Total Pages : 307 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Reliability Engineering and Computational Intelligence by : Coen van Gulijk

Download or read book Reliability Engineering and Computational Intelligence written by Coen van Gulijk and published by Springer Nature. This book was released on 2021-08-06 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational intelligence is rapidly becoming an essential part of reliability engineering. This book offers a wide spectrum of viewpoints on the merger of technologies. Leading scientists share their insights and progress on reliability engineering techniques, suitable mathematical methods, and practical applications. Thought-provoking ideas are embedded in a solid scientific basis that contribute to the development the emerging field. This book is for anyone working on the most fundamental paradigm-shift in resilience engineering in decades. Scientists benefit from this book by gaining insight in the latest in the merger of reliability engineering and computational intelligence. Businesses and (IT) suppliers can find inspiration for the future, and reliability engineers can use the book to move closer to the cutting edge of technology.

Handbook of Research on Artificial Intelligence Techniques and Algorithms

Author : Vasant, Pandian
Publisher : IGI Global
ISBN 13 : 1466672595
Total Pages : 873 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Handbook of Research on Artificial Intelligence Techniques and Algorithms by : Vasant, Pandian

Download or read book Handbook of Research on Artificial Intelligence Techniques and Algorithms written by Vasant, Pandian and published by IGI Global. This book was released on 2014-11-30 with total page 873 pages. Available in PDF, EPUB and Kindle. Book excerpt: For decades, optimization methods such as Fuzzy Logic, Artificial Neural Networks, Firefly, Simulated annealing, and Tabu search, have been capable of handling and tackling a wide range of real-world application problems in society and nature. Analysts have turned to these problem-solving techniques in the event during natural disasters and chaotic systems research. The Handbook of Research on Artificial Intelligence Techniques and Algorithms highlights the cutting edge developments in this promising research area. This premier reference work applies Meta-heuristics Optimization (MO) Techniques to real world problems in a variety of fields including business, logistics, computer science, engineering, and government. This work is particularly relevant to researchers, scientists, decision-makers, managers, and practitioners.

Computational Intelligence, Data Analytics and Applications

Author : Fausto Pedro García Márquez
Publisher : Springer Nature
ISBN 13 : 3031270991
Total Pages : 610 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Computational Intelligence, Data Analytics and Applications by : Fausto Pedro García Márquez

Download or read book Computational Intelligence, Data Analytics and Applications written by Fausto Pedro García Márquez and published by Springer Nature. This book was released on 2023-03-14 with total page 610 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a compilation of accepted papers presented at the International Conference on Computing, Intelligence and Data Analytics (ICCIDA) in 2022 organized by Information Systems Engineering of the Kocaeli University, Turkey on September 16-17, 2022. The book highlights some of the latest research advances and cutting-edge analyses of real-world problems related to Computing, Intelligence and Data Analytics and their applications in various domains. This includes state of the art models and methods used on benchmark datasets.

Computational Intelligence

Author : Christine L. Mumford
Publisher : Springer Science & Business Media
ISBN 13 : 3642017991
Total Pages : 726 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Computational Intelligence by : Christine L. Mumford

Download or read book Computational Intelligence written by Christine L. Mumford and published by Springer Science & Business Media. This book was released on 2009-07-21 with total page 726 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is about synergy in computational intelligence (CI). It is a c- lection of chapters that covers a rich and diverse variety of computer-based techniques, all involving some aspect of computational intelligence, but each one taking a somewhat pragmatic view. Many complex problems in the real world require the application of some form of what we loosely call “intel- gence”fortheirsolution. Fewcanbesolvedbythenaiveapplicationofasingle technique, however good it is. Authors in this collection recognize the li- tations of individual paradigms, and propose some practical and novel ways in which di?erent CI techniques can be combined with each other, or with more traditional computational techniques, to produce powerful probl- solving environments which exhibit synergy, i. e. , systems in which the whole 1 is greater than the sum of the parts . Computational intelligence is a relatively new term, and there is some d- agreement as to its precise de?nition. Some practitioners limit its scope to schemes involving evolutionary algorithms, neural networks, fuzzy logic, or hybrids of these. For others, the de?nition is a little more ?exible, and will include paradigms such as Bayesian belief networks, multi-agent systems, case-based reasoning and so on. Generally, the term has a similar meaning to the well-known phrase “Arti?cial Intelligence” (AI), although CI is p- ceived moreas a “bottom up” approachfrom which intelligent behaviour can emerge,whereasAItendstobestudiedfromthe“topdown”,andderivefrom pondering upon the “meaning of intelligence”. (These and other key issues will be discussed in more detail in Chapter 1.

Applications of Computational Intelligence Techniques in Communications

Author : Mridul Gupta
Publisher : CRC Press
ISBN 13 : 1000983617
Total Pages : 210 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Applications of Computational Intelligence Techniques in Communications by : Mridul Gupta

Download or read book Applications of Computational Intelligence Techniques in Communications written by Mridul Gupta and published by CRC Press. This book was released on 2023-11-03 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book titled "Applications of Computational Intelligence Techniques in Communications" is a one-stop platform for the researchers, academicians, and people from industry to get a thorough understanding of the latest research in the field of communication engineering. Over the past decade, a manyfold increase in the use of computational intelligence techniques has been identified for obtaining the most optimal and timely solution to a problem. The various aspects covering the significant contribution of numerous computational intelligence techniques have been discussed in detail in this book. Today’s era of machine learning and Internet of Things (IoT) is demanding as high as possible data rate which has resulted into tremendous increased speed of communication. To match-up the pace, the computational intelligence is posing to be the most efficient and favourite tool. The book aims to cover the current technological advancements in the field of communication engineering and give a detailed prospect of computational intelligence to its readers. This book will be a great support to the people working in the field of IoT, machine learning, healthcare, optimization, filter design, 5G and beyond, signal processing etc. The chapters included here will expose its audience to various newly introduced and advanced computational intelligence techniques applicable in communication domain. The readers will be exposed multiple interdisciplinary areas of research in communication and will get the motivation to work in collaboration with other professionals from both the academia and industry.

Combating Fake News with Computational Intelligence Techniques

Author : Mohamed Lahby
Publisher : Springer Nature
ISBN 13 : 3030900878
Total Pages : 432 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Combating Fake News with Computational Intelligence Techniques by : Mohamed Lahby

Download or read book Combating Fake News with Computational Intelligence Techniques written by Mohamed Lahby and published by Springer Nature. This book was released on 2021-12-15 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest cutting-edge research, theoretical methods, and novel applications in the field of computational intelligence techniques and methods for combating fake news. Fake news is everywhere. Despite the efforts of major social network players such as Facebook and Twitter to fight disinformation, miracle cures and conspiracy theories continue to rain down on the net. Artificial intelligence can be a bulwark against the diversity of fake news on the Internet and social networks. This book discusses new models, practical solutions, and technological advances related to detecting and analyzing fake news based on computational intelligence models and techniques, to help decision-makers, managers, professionals, and researchers design new paradigms considering the unique opportunities associated with computational intelligence techniques. Further, the book helps readers understand computational intelligence techniques combating fake news in a systematic and straightforward way.

Computational Intelligence Techniques and Their Applications to Software Engineering Problems

Author : Ankita Bansal
Publisher : CRC Press
ISBN 13 : 100019194X
Total Pages : 809 pages
Book Rating : 4.0/5 (1 download)

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Book Synopsis Computational Intelligence Techniques and Their Applications to Software Engineering Problems by : Ankita Bansal

Download or read book Computational Intelligence Techniques and Their Applications to Software Engineering Problems written by Ankita Bansal and published by CRC Press. This book was released on 2020-09-27 with total page 809 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Intelligence Techniques and Their Applications to Software Engineering Problems focuses on computational intelligence approaches as applicable in varied areas of software engineering such as software requirement prioritization, cost estimation, reliability assessment, defect prediction, maintainability and quality prediction, size estimation, vulnerability prediction, test case selection and prioritization, and much more. The concepts of expert systems, case-based reasoning, fuzzy logic, genetic algorithms, swarm computing, and rough sets are introduced with their applications in software engineering. The field of knowledge discovery is explored using neural networks and data mining techniques by determining the underlying and hidden patterns in software data sets. Aimed at graduate students and researchers in computer science engineering, software engineering, information technology, this book: Covers various aspects of in-depth solutions of software engineering problems using computational intelligence techniques Discusses the latest evolutionary approaches to preliminary theory of different solve optimization problems under software engineering domain Covers heuristic as well as meta-heuristic algorithms designed to provide better and optimized solutions Illustrates applications including software requirement prioritization, software cost estimation, reliability assessment, software defect prediction, and more Highlights swarm intelligence-based optimization solutions for software testing and reliability problems

Computational Intelligence in Control

Author : Mohammadian, Masoud
Publisher : IGI Global
ISBN 13 : 1591400791
Total Pages : 348 pages
Book Rating : 4.5/5 (914 download)

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Book Synopsis Computational Intelligence in Control by : Mohammadian, Masoud

Download or read book Computational Intelligence in Control written by Mohammadian, Masoud and published by IGI Global. This book was released on 2002-07-01 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: The problem of controlling uncertain dynamic systems, which are subject to external disturbances, uncertainty and sheer complexity is of considerable interest in computer science, operations research and business domains. Computational Intelligence in Control is a repository for the theory and applications of intelligent systems techniques.

Comparative Analysis of Digital Consciousness and Human Consciousness: Bridging the Divide in AI Discourse

Author : Lathabhavan, Remya
Publisher : IGI Global
ISBN 13 :
Total Pages : 376 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Comparative Analysis of Digital Consciousness and Human Consciousness: Bridging the Divide in AI Discourse by : Lathabhavan, Remya

Download or read book Comparative Analysis of Digital Consciousness and Human Consciousness: Bridging the Divide in AI Discourse written by Lathabhavan, Remya and published by IGI Global. This book was released on 2024-04-22 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today's digital age, the rapid advancement of AI and digital technologies has led to the emergence of digital consciousness, blurring the lines between human and machine thinking. At the same time, these technologies offer unprecedented convenience and efficiency but pose significant challenges. Individuals are increasingly facing issues such as stress, anxiety, and technology addiction, impacting their overall well-being and decision-making processes. The dichotomy between digital consciousness and human consciousness raises critical questions about how we can navigate these challenges in a rapidly evolving technological landscape. To address these pressing concerns, Comparative Analysis of Digital Consciousness and Human Consciousness: Bridging the Divide in AI Discourse offers a comprehensive exploration of the impacts of digital consciousness on human well-being and decision-making. This book delves into the paradoxes and challenges posed by the coexistence of digital and human consciousness, providing insights from psychological perspectives, practitioner experiences, and academic research. By offering a nuanced understanding of these concepts, we aim to equip readers with the knowledge and tools needed to manage the implications of digital consciousness in their personal and professional lives.

Computational Intelligence for Cybersecurity Management and Applications

Author : Yassine Maleh
Publisher : CRC Press
ISBN 13 : 1000853349
Total Pages : 249 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Computational Intelligence for Cybersecurity Management and Applications by : Yassine Maleh

Download or read book Computational Intelligence for Cybersecurity Management and Applications written by Yassine Maleh and published by CRC Press. This book was released on 2023-04-28 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: As cyberattacks continue to grow in complexity and number, computational intelligence is helping under-resourced security analysts stay one step ahead of threats. Drawing on threat intelligence from millions of studies, blogs, and news articles, computational intelligence techniques such as machine learning and automatic natural language processing quickly provide the means to identify real threats and dramatically reduce response times. The book collects and reports on recent high-quality research addressing different cybersecurity challenges. It: explores the newest developments in the use of computational intelligence and AI for cybersecurity applications provides several case studies related to computational intelligence techniques for cybersecurity in a wide range of applications (smart health care, blockchain, cyber-physical system, etc.) integrates theoretical and practical aspects of computational intelligence for cybersecurity so that any reader, from novice to expert, may understand the book’s explanations of key topics. It offers comprehensive coverage of the essential topics, including: machine learning and deep learning for cybersecurity blockchain for cybersecurity and privacy security engineering for cyber-physical systems AI and data analytics techniques for cybersecurity in smart systems trust in digital systems This book discusses the current state-of-the-art and practical solutions for the following cybersecurity and privacy issues using artificial intelligence techniques and cutting-edge technology. Readers interested in learning more about computational intelligence techniques for cybersecurity applications and management will find this book invaluable. They will get insight into potential avenues for future study on these topics and be able to prioritize their efforts better.

Applied Soft Computing

Author : Samarjeet Borah
Publisher : CRC Press
ISBN 13 : 1000406652
Total Pages : 281 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Applied Soft Computing by : Samarjeet Borah

Download or read book Applied Soft Computing written by Samarjeet Borah and published by CRC Press. This book was released on 2022-02-03 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new volume explores a variety of modern techniques that deal with estimated models and give resolutions to complex real-life issues. Soft computing has played a crucial role not only with theoretical paradigms but is also popular for its pivotal role for designing a large variety of expert systems and artificial intelligence-based applications. Involving the concepts and practices of soft computing in conjunction with other frontier research domains, this book begins with the basics and goes on to explore a variety of modern applications of soft computing in areas such as approximate reasoning, artificial neural networks, Bayesian networks, big data analytics, bioinformatics, cloud computing, control systems, data mining, functional approximation, fuzzy logic, genetic and evolutionary algorithms, hybrid models, machine learning, metaheuristics, neuro fuzzy system, optimization, randomized searches, and swarm intelligence. This book will be helpful to a wide range of readers who wish to learn applications of soft computing approaches. It will be useful for academicians, researchers, students, and machine learning experts who use soft computing techniques and algorithms to develop cutting-edge artificial intelligence-based applications.

Computational Intelligence Techniques for Combating COVID-19

Author : Sandeep Kautish
Publisher : Springer Nature
ISBN 13 : 3030689360
Total Pages : 392 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Computational Intelligence Techniques for Combating COVID-19 by : Sandeep Kautish

Download or read book Computational Intelligence Techniques for Combating COVID-19 written by Sandeep Kautish and published by Springer Nature. This book was released on 2021 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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).

Computational Intelligence in Reliability Engineering

Author : Gregory Levitin
Publisher : Springer
ISBN 13 : 3540373721
Total Pages : 413 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Computational Intelligence in Reliability Engineering by : Gregory Levitin

Download or read book Computational Intelligence in Reliability Engineering written by Gregory Levitin and published by Springer. This book was released on 2007-01-10 with total page 413 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume includes chapters presenting applications of different metaheuristics in reliability engineering, including ant colony optimization, great deluge algorithm, cross-entropy method and particle swarm optimization. It also presents chapters devoted to cellular automata and support vector machines, and applications of artificial neural networks, a powerful adaptive technique that can be used for learning, prediction and optimization. Several chapters describe aspects of imprecise reliability and applications of fuzzy and vague set theory.

Computational Intelligence in Business Analytics

Author : Les Sztandera
Publisher : Pearson Education
ISBN 13 : 013355208X
Total Pages : 155 pages
Book Rating : 4.1/5 (335 download)

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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 and published by Pearson Education. This book was released on 2014 with total page 155 pages. 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. Whether you're a professional or a student, this up-to-date, accessible reference will teach you the computational intelligence concepts and methods you need to fully leverage these powerful techniques. 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. To demonstrate these techniques at work, Computational Intelligence in Business Analytics is packed with relevant case studies and examples, including: 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 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.