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Author: Pankaj Srivastava
Publisher: Springer Nature
ISBN: 9811951810
Category : Technology & Engineering
Languages : en
Pages : 349
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Book Description
This book presents a collection of selected papers presented at the 22nd FAI International Conference on Mathematical, Computational Intelligence and Engineering Approaches to Healthcare, Business and Tourism Analytics (FAI-ICMCIE 2020), held at American College, Madurai, India, from 20–22 December 2020. This book discusses advanced mathematical concepts and computational intelligence approaches for: medical diagnostic approach in cardiac diseases, nano topology in medical diseases, stability of indicators in assessing business development, AI-guided paradigmatic competence in science and spirituality integration, neural network-TOPSIS analytics in hotel service quality, itinerary planning destination ranking tourism analytics, molecular modeling and docking simulation for unraveling medicinal properties, value-oriented approach on commercial banks security, Brownian motion in shares of the bank, internet of things linking to social media and e-commerce, and more, which are discussed by using fuzzy analytics, nano-topology, statistical, TOPSIS and neural network tools.
Author: Pankaj Srivastava
Publisher: Springer Nature
ISBN: 9811951810
Category : Technology & Engineering
Languages : en
Pages : 349
Get Book Here
Book Description
This book presents a collection of selected papers presented at the 22nd FAI International Conference on Mathematical, Computational Intelligence and Engineering Approaches to Healthcare, Business and Tourism Analytics (FAI-ICMCIE 2020), held at American College, Madurai, India, from 20–22 December 2020. This book discusses advanced mathematical concepts and computational intelligence approaches for: medical diagnostic approach in cardiac diseases, nano topology in medical diseases, stability of indicators in assessing business development, AI-guided paradigmatic competence in science and spirituality integration, neural network-TOPSIS analytics in hotel service quality, itinerary planning destination ranking tourism analytics, molecular modeling and docking simulation for unraveling medicinal properties, value-oriented approach on commercial banks security, Brownian motion in shares of the bank, internet of things linking to social media and e-commerce, and more, which are discussed by using fuzzy analytics, nano-topology, statistical, TOPSIS and neural network tools.
Author: Etim, Alice S.
Publisher: IGI Global
ISBN: 1668453495
Category : Technology & Engineering
Languages : en
Pages : 408
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Book Description
Economically disadvantaged communities in many regions around the world are making concerted efforts to become integrated into the global information society. The adoption and use of an array of technology tools and services by these communities will pave the way for their inclusion. Adoption and Use of Technology Tools and Services by Economically Disadvantaged Communities: Implications for Growth and Sustainability examines the challenges facing economically disadvantaged communities with respect to their digital divide and emerging opportunities as they adopt modern ICT tools and services for growth and sustainability. Focus is given to research on ICT adoption, use, and impact on lives, businesses, and societies. Covering topics such as the digital divide, food traceability, and big data analytics, this premier reference source is an excellent resource for sociologists, government officials, community leaders, students and educators of higher education, librarians, researchers, and academicians.
Author: Vikas Khare
Publisher: Elsevier
ISBN: 0443160791
Category : Computers
Languages : en
Pages : 334
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Book Description
Cognitive Science, Computational Intelligence, and Data Analytics: Methods and Applications with Python introduces readers to the foundational concepts of data analysis, cognitive science, and computational intelligence, including AI and Machine Learning. The book's focus is on fundamental ideas, procedures, and computational intelligence tools that can be applied to a wide range of data analysis approaches, with applications that include mathematical programming, evolutionary simulation, machine learning, and logic-based models. It offers readers the fundamental and practical aspects of cognitive science and data analysis, exploring data analytics in terms of description, evolution, and applicability in real-life problems.The authors cover the history and evolution of cognitive analytics, methodological concerns in philosophy, syntax and semantics, understanding of generative linguistics, theory of memory and processing theory, structured and unstructured data, qualitative and quantitative data, measurement of variables, nominal, ordinals, intervals, and ratio scale data. The content in this book is tailored to the reader's needs in terms of both type and fundamentals, including coverage of multivariate analysis, CRISP methodology and SEMMA methodology. Each chapter provides practical, hands-on learning with real-world applications, including case studies and Python programs related to the key concepts being presented. - Demystifies the theory of data analytics using a step-by-step approach - Covers the intersection of cognitive science, computational intelligence, and data analytics by providing examples and case studies with applied algorithms, mathematics, and Python programming code - Introduces foundational data analytics techniques such as CRISP-DM, SEMMA, and Object Detection Models in the context of computational intelligence methods and tools - Covers key concepts of multivariate and cognitive data analytics such as factor analytics, principal component analytics, linear regression analysis, logistic regression analysis, and value chain applications
Author: Yingxu Wang
Publisher: IGI Publishing
ISBN: 9781609609467
Category : Computational intelligence
Languages : en
Pages : 116
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Book Description
The latest developments in computer science, theoretical software engineering, cognitive science, cognitive informatics, intelligence science, and the crystallization of accumulated knowledge by the fertilization of these areas, have led to the emergence of a transdisciplinary and convergence field known as software and intelligence sciences International Journal of Software Science and Computational Intelligence (IJSSCI) is a transdisciplinary, archived, and rigorously refereed journal that publishes and disseminates cutting-edge research findings and technological developments in the emerging fields of software science and computational intelligence, as well as their engineering applications.
Author: National Research Council
Publisher: National Academies Press
ISBN: 0309046483
Category : Technology & Engineering
Languages : en
Pages : 145
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Book Description
Computational mechanics is a scientific discipline that marries physics, computers, and mathematics to emulate natural physical phenomena. It is a technology that allows scientists to study and predict the performance of various productsâ€"important for research and development in the industrialized world. This book describes current trends and future research directions in computational mechanics in areas where gaps exist in current knowledge and where major advances are crucial to continued technological developments in the United States.
Author: Witold Pedrycz
Publisher: Springer Nature
ISBN: 3030738191
Category : Technology & Engineering
Languages : en
Pages : 417
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Book Description
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.
Author: Nilanjan Dey
Publisher: Academic Press
ISBN: 0128156414
Category : Computers
Languages : en
Pages : 276
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Book Description
Social Network Analytics: Computational Research Methods and Techniques focuses on various technical concepts and aspects of social network analysis. The book features the latest developments and findings in this emerging area of research. In addition, it includes a variety of applications from several domains, such as scientific research, and the business and industrial sectors. The technical aspects of analysis are covered in detail, including visualizing and modeling, network theory, mathematical models, the big data analytics of social networks, multidimensional scaling, and more. As analyzing social network data is rapidly gaining interest in the scientific research community because of the importance of the information and insights that can be culled from the wealth of data inherent in the various aspects of the network, this book provides insights on measuring the relationships and flows between people, groups, organizations, computers, URLs, and more. Examines a variety of data analytic techniques that can be applied to social networks Discusses various methods of visualizing, modeling and tracking network patterns, organization, growth and change Covers the most recent research on social network analysis and includes applications to a number of domains
Author: Mariya Ouaissa
Publisher: Springer Nature
ISBN: 303105752X
Category : Computers
Languages : en
Pages : 336
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Book Description
This book presents a collection of state-of-the-art artificial intelligence and big data analytics approaches to cybersecurity intelligence. It illustrates the latest trends in AI/ML-based strategic defense mechanisms against malware, vulnerabilities, cyber threats, as well as proactive countermeasures. It also introduces other trending technologies, such as blockchain, SDN, and IoT, and discusses their possible impact on improving security. The book discusses the convergence of AI/ML and big data in cybersecurity by providing an overview of theoretical, practical, and simulation concepts of computational intelligence and big data analytics used in different approaches of security. It also displays solutions that will help analyze complex patterns in user data and ultimately improve productivity. This book can be a source for researchers, students, and practitioners interested in the fields of artificial intelligence, cybersecurity, data analytics, and recent trends of networks.
Author: Zheng Xu
Publisher: Springer Nature
ISBN: 3030700429
Category : Technology & Engineering
Languages : en
Pages : 952
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Book Description
This book presents the outcomes of the 2021 International Conference on Cyber Security Intelligence and Analytics (CSIA 2021), an international conference dedicated to promoting novel theoretical and applied research advances in the interdisciplinary field of cyber security, particularly focusing on threat intelligence, analytics, and countering cybercrime. The conference provides a forum for presenting and discussing innovative ideas, cutting-edge research findings and novel techniques, methods and applications on all aspects of cyber security intelligence and analytics. Due to COVID-19, Authors, Keynote Speakers and PC committees will attend the conference online.
Author: Yulei Wu
Publisher: CRC Press
ISBN: 1498784879
Category : Computers
Languages : en
Pages : 547
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Book Description
This book presents state-of-the-art solutions to the theoretical and practical challenges stemming from the leverage of big data and its computational intelligence in supporting smart network operation, management, and optimization. In particular, the technical focus covers the comprehensive understanding of network big data, efficient collection and management of network big data, distributed and scalable online analytics for network big data, and emerging applications of network big data for computational intelligence.
