Development Methodologies For Big Data Analytics Systems
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Development Methodologies For Big Data Analytics Systems
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Author : Manuel Mora
language : en
Publisher: Springer Nature
Release Date : 2023-11-03
Development Methodologies For Big Data Analytics Systems written by Manuel Mora and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-03 with Technology & Engineering categories.
This book presents research in big data analytics (BDA) for business of all sizes. The authors analyze problems presented in the application of BDA in some businesses through the study of development methodologies based on the three approaches – 1) plan-driven, 2) agile and 3) hybrid lightweight. The authors first describe BDA systems and how they emerged with the convergence of Statistics, Computer Science, and Business Intelligent Analytics with the practical aim to provide concepts, models, methods and tools required for exploiting the wide variety, volume, and velocity of available business internal and external data - i.e. Big Data – and provide decision-making value to decision-makers. The book presents high-quality conceptual and empirical research-oriented chapters on plan-driven, agile, and hybrid lightweight development methodologies and relevant supporting topics for BDA systems suitable to be used for large-, medium-, and small-sized business organizations.
Big Data Analytics Systems Algorithms Applications
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Author : C.S.R. Prabhu
language : en
Publisher: Springer Nature
Release Date : 2019-10-14
Big Data Analytics Systems Algorithms Applications written by C.S.R. Prabhu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-14 with Computers categories.
This book provides a comprehensive survey of techniques, technologies and applications of Big Data and its analysis. The Big Data phenomenon is increasingly impacting all sectors of business and industry, producing an emerging new information ecosystem. On the applications front, the book offers detailed descriptions of various application areas for Big Data Analytics in the important domains of Social Semantic Web Mining, Banking and Financial Services, Capital Markets, Insurance, Advertisement, Recommendation Systems, Bio-Informatics, the IoT and Fog Computing, before delving into issues of security and privacy. With regard to machine learning techniques, the book presents all the standard algorithms for learning – including supervised, semi-supervised and unsupervised techniques such as clustering and reinforcement learning techniques to perform collective Deep Learning. Multi-layered and nonlinear learning for Big Data are also covered. In turn, the book highlights real-life case studies on successful implementations of Big Data Analytics at large IT companies such as Google, Facebook, LinkedIn and Microsoft. Multi-sectorial case studies on domain-based companies such as Deutsche Bank, the power provider Opower, Delta Airlines and a Chinese City Transportation application represent a valuable addition. Given its comprehensive coverage of Big Data Analytics, the book offers a unique resource for undergraduate and graduate students, researchers, educators and IT professionals alike.
Marketing And Big Data Analytics In Tourism And Events
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Author : Hashem, Tareq Nael
language : en
Publisher: IGI Global
Release Date : 2024-05-06
Marketing And Big Data Analytics In Tourism And Events written by Hashem, Tareq Nael and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-06 with Business & Economics categories.
In the digital age, the tourism industry faces the challenge of effectively marketing destinations amidst a sea of competition and information. Marketing Information Systems (MkIS) and Big Data Analytics (BDA) hold immense potential. Yet, many organizations need help harnessing their power efficiently. Marketing and Big Data Analytics in Tourism and Events offer a comprehensive solution, deep-dive into integrating MkIS and BDA as a strategic approach to revolutionizing tourism marketing. The book aims to bridge the gap between theory and practice by examining the complexities and nuances of MkIS and BDA in promoting tourist destinations. It provides actionable insights and practical strategies for leveraging these technologies effectively. Readers will understand how AI-driven MkIS and BDA can enhance marketing campaigns, improve customer experiences, and drive business growth in the tourism sector.
Handbook Of Big Data Analytics
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Author : Vadlamani Ravi
language : en
Publisher: IET
Release Date : 2021-07-09
Handbook Of Big Data Analytics written by Vadlamani Ravi and has been published by IET this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-09 with Computers categories.
This comprehensive edited 2-volume handbook provides a unique platform for researchers, engineers, developers, educators and advanced students in the field of Big Data analytics. The first volume presents methodologies that support Big Data analytics, while the second volume offers a wide range of Big Data analytics applications.
Big Data Analytics For Healthcare
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Author : Pantea Keikhosrokiani
language : en
Publisher: Academic Press
Release Date : 2022-05-19
Big Data Analytics For Healthcare written by Pantea Keikhosrokiani and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-19 with Medical categories.
Big Data Analytics and Medical Information Systems presents the valuable use of artificial intelligence and big data analytics in healthcare and medical sciences. It focuses on theories, methods and approaches in which data analytic techniques can be used to examine medical data to provide a meaningful pattern for classification, diagnosis, treatment, and prediction of diseases. The book discusses topics such as theories and concepts of the field, and how big medical data mining techniques and applications can be applied to classification, diagnosis, treatment, and prediction of diseases. In addition, it covers social, behavioral, and medical fake news analytics to prevent medical misinformation and myths. It is a valuable resource for graduate students, researchers and members of biomedical field who are interested in learning more about analytic tools to support their work. - Presents theories, methods and approaches in which data analytic techniques are used for medical data - Brings practical information on how to use big data for classification, diagnosis, treatment, and prediction of diseases - Discusses social, behavioral, and medical fake news analytics for medical information systems
International Conference On Innovative Approaches To The Application Of Digital Technologies In Education And Research
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Author : Maria Lapina
language : en
Publisher: Springer Nature
Release Date : 2024-12-26
International Conference On Innovative Approaches To The Application Of Digital Technologies In Education And Research written by Maria Lapina and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-26 with Education categories.
This book is based on the best papers accepted for presentation during the SLET-2022: International Conference on Innovative Approaches to the Application of Digital Technologies in Education and Research. The book includes research on digital pedagogy, e-learning technologies, end-to-end technologies in education, and educational transformation. The contributions in this volume highlight the significant advancements and innovative methodologies in digital education. The book provides a consolidated research exploration on contemporary themes in education such as digital teaching technologies, digital pedagogy and resources, gamification, and innovations in education with a special focus on educational technology for present and future educators. The authors of these papers have explored diverse topics, such as artificial intelligence in education, the integration of virtual and augmented reality, the development of online learning platforms, and the impact of digital tools on student engagement and learning outcomes. This collection aims to provide educators, researchers, and practitioners with insights into the latest trends and challenges in digital education. It also seeks to inspire further research and innovation in applying digital technologies to enhance teaching and learning experiences. As the landscape of education continues to evolve, the integration of digital technologies becomes increasingly critical. This book addresses a wide range of issues and opportunities, offering valuable perspectives on how digital tools can be leveraged to improve educational outcomes and accessibility. This book serves as a vital resource for comprehending the future of education and the transformative role digital technologies play in its development. By delving into the innovative approaches and cutting-edge research presented within, readers gain a deeper understanding of how digital advancements are redefining educational practices and enhancing learning experiences. The insights provided in this volume help educators develop more effective teaching strategies, incorporate new technologies into their curricula, and ultimately create more engaging and inclusive learning environments. Moreover, the book intends to foster new ideas, discussions, and collaborations that will continue to advance educational technology, thus bringing together a diverse array of research and perspectives to encourage a multidisciplinary approach to solving the complex challenges facing modern education.
Model Management And Analytics For Large Scale Systems
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Author : Bedir Tekinerdogan
language : en
Publisher: Academic Press
Release Date : 2019-09-14
Model Management And Analytics For Large Scale Systems written by Bedir Tekinerdogan and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-14 with Computers categories.
Model Management and Analytics for Large Scale Systems covers the use of models and related artefacts (such as metamodels and model transformations) as central elements for tackling the complexity of building systems and managing data. With their increased use across diverse settings, the complexity, size, multiplicity and variety of those artefacts has increased. Originally developed for software engineering, these approaches can now be used to simplify the analytics of large-scale models and automate complex data analysis processes. Those in the field of data science will gain novel insights on the topic of model analytics that go beyond both model-based development and data analytics. This book is aimed at both researchers and practitioners who are interested in model-based development and the analytics of large-scale models, ranging from big data management and analytics, to enterprise domains. The book could also be used in graduate courses on model development, data analytics and data management. - Identifies key problems and offers solution approaches and tools that have been developed or are necessary for model management and analytics - Explores basic theory and background, current research topics, related challenges and the research directions for model management and analytics - Provides a complete overview of model management and analytics frameworks, the different types of analytics (descriptive, diagnostics, predictive and prescriptive), the required modelling and method steps, and important future directions
Applied Big Data Analytics In Operations Management
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Author : Kumar, Manish
language : en
Publisher: IGI Global
Release Date : 2016-09-30
Applied Big Data Analytics In Operations Management written by Kumar, Manish and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09-30 with Business & Economics categories.
Operations management is a tool by which companies can effectively meet customers’ needs using the least amount of resources necessary. With the emergence of sensors and smart metering, big data is becoming an intrinsic part of modern operations management. Applied Big Data Analytics in Operations Management enumerates the challenges and creative solutions and tools to apply when using big data in operations management. Outlining revolutionary concepts and applications that help businesses predict customer behavior along with applications of artificial neural networks, predictive analytics, and opinion mining on business management, this comprehensive publication is ideal for IT professionals, software engineers, business professionals, managers, and students of management.
Project Management In The Digital Transformation Era
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Author : Sergey Bushuyev
language : en
Publisher: Springer Nature
Release Date : 2023-06-16
Project Management In The Digital Transformation Era written by Sergey Bushuyev and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-16 with Technology & Engineering categories.
This book presents the proceedings of the 32nd World Congress of the International Project Management Association (IPMA). Digitalization is changing many fields of development and accelerating the global economic world. This challenge concerns project management as the driver of change. More than 1000 participants of the 32nd IPMA World Congress are an international community of the best experts and practitioners of project management. The Program Committee of the Congress includes more than 30 experts from Europe, Asia, America, and Australia, heads of large companies, and leading scientists and practitioners representing various areas of management, economics, and digital technology. The project management community discussed the challenges and prospects of the digital age, to find solutions to the problems that it poses to project management. The discussion took place in different formats – presentations, master classes, panel discussions, business games, and seminars that will be conducted by the world’s leading experts in the project management field.
2021 International Conference On Big Data Analytics For Cyber Physical System In Smart City
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Author : Mohammed Atiquzzaman
language : en
Publisher: Springer Nature
Release Date : 2021-12-09
2021 International Conference On Big Data Analytics For Cyber Physical System In Smart City written by Mohammed Atiquzzaman and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-09 with Technology & Engineering categories.
This book gathers a selection of peer-reviewed papers presented at the third Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2021) conference, held in Shanghai, China, on Nov. 27, 2021. The contributions, prepared by an international team of scientists and engineers, cover the latest advances made in the field of machine learning, and big data analytics methods and approaches for the data-driven co-design of communication, computing, and control for smart cities. Given its scope, it offers a valuable resource for all researchers and professionals interested in big data, smart cities, and cyber-physical systems.