Granular Computing and Big Data Advancements

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Author :
Publisher : IGI Global
ISBN 13 :
Total Pages : 331 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Granular Computing and Big Data Advancements by : Zhang, Chao

Download or read book Granular Computing and Big Data Advancements written by Zhang, Chao and published by IGI Global. This book was released on 2024-08-06 with total page 331 pages. Available in PDF, EPUB and Kindle. Book excerpt: In an era defined by the deluge of data, navigating the complexities of decision-making under conditions of uncertainty has emerged as a formidable challenge for scholars and practitioners alike. The sheer volume and velocity of information inundating decision-makers often leads to paralysis or misguided choices, amplifying the risks inherent in uncertain environments. Granular Computing and Big Data Advancements provides insights and solutions in this challenging landscape. The impact of Granular Computing and Big Data Advancements reverberates across the research community, offering a cohesive resource that bridges the gap between theory and practice. With its interdisciplinary approach and emphasis on innovation, the book fosters collaboration and empowers scholars to tackle complex challenges head-on. Whether researchers seek novel methodologies, practitioners aim to enhance decision-making processes, or students embark on their academic journey, this publication serves as a cornerstone in the quest for effective decision-making amidst the uncertainties of the modern world.

Granular Computing and Big Data Advancements

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Author :
Publisher : Engineering Science Reference
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Granular Computing and Big Data Advancements by : Chao Zhang

Download or read book Granular Computing and Big Data Advancements written by Chao Zhang and published by Engineering Science Reference. This book was released on 2024-07-31 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: In an era defined by the deluge of data, navigating the complexities of decision-making under conditions of uncertainty has emerged as a formidable challenge for scholars and practitioners alike. The sheer volume and velocity of information inundating decision-makers often leads to paralysis or misguided choices, amplifying the risks inherent in uncertain environments. Granular Computing and Big Data Advancements provides insights and solutions in this challenging landscape. This comprehensive publication addresses the fundamental dilemma decision-makers face: how to harness the power of big data amidst uncertainty to make informed choices that drive success. By delving into the intricacies of big data analytics, uncertainty modeling, and advanced quantification techniques, the book equips scholars with the necessary tools to extract meaningful insights from vast datasets and confidently navigate uncertainty. Through real-world case studies spanning diverse domains such as finance, healthcare, and marketing, readers gain invaluable practical insights into applying these methodologies in their contexts. The impact of Granular Computing and Big Data Advancements reverberates across the research community, offering a cohesive resource that bridges the gap between theory and practice. With its interdisciplinary approach and emphasis on innovation, the book fosters collaboration and empowers scholars to tackle complex challenges head-on. Whether researchers seek novel methodologies, practitioners aim to enhance decision-making processes, or students embark on their academic journey, this publication serves as a cornerstone in the quest for effective decision-making amidst the uncertainties of the modern world.

New Trends in Intelligent Software Methodologies, Tools and Techniques

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Author :
Publisher : IOS Press
ISBN 13 : 1614999007
Total Pages : 1058 pages
Book Rating : 4.6/5 (149 download)

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Book Synopsis New Trends in Intelligent Software Methodologies, Tools and Techniques by : H. Fujita

Download or read book New Trends in Intelligent Software Methodologies, Tools and Techniques written by H. Fujita and published by IOS Press. This book was released on 2018-09-18 with total page 1058 pages. Available in PDF, EPUB and Kindle. Book excerpt: Knowledge-based systems, fully integrated with software, have become essential enablers for both science and commerce. But current software methodologies, tools and techniques are not robust or reliable enough for the demands of a constantly changing and evolving market, and many promising approaches have proved to be no more than case-oriented methods that are not fully automated. This book presents the proceedings of the 17th international conference on New Trends in Intelligent Software Methodology, Tools and Techniques (SoMeT18) held in Granada, Spain, 26-28 September 2018. The SoMeT conferences provide a forum for the exchange of ideas and experience, foster new directions in software development methodologies and related tools and techniques, and focus on exploring innovations, controversies, and the current challenges facing the software engineering community. The 80 selected papers included here are divided into 13 chapters, and cover subjects as diverse as intelligent software systems; medical informatics and bioinformatics; artificial intelligence techniques; social learning software and sentiment analysis; cognitive systems and neural analytics; and security, among other things. Offering a state-of-the-art overview of methodologies, tools and techniques, this book will be of interest to all those whose work involves the development or application of software.

Securing IoT and Big Data

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Publisher : CRC Press
ISBN 13 : 1000258513
Total Pages : 191 pages
Book Rating : 4.0/5 (2 download)

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Book Synopsis Securing IoT and Big Data by : Vijayalakshmi Saravanan

Download or read book Securing IoT and Big Data written by Vijayalakshmi Saravanan and published by CRC Press. This book was released on 2020-12-16 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers IoT and Big Data from a technical and business point of view. The book explains the design principles, algorithms, technical knowledge, and marketing for IoT systems. It emphasizes applications of big data and IoT. It includes scientific algorithms and key techniques for fusion of both areas. Real case applications from different industries are offering to facilitate ease of understanding the approach. The book goes on to address the significance of security algorithms in combing IoT and big data which is currently evolving in communication technologies. The book is written for researchers, professionals, and academicians from interdisciplinary and transdisciplinary areas. The readers will get an opportunity to know the conceptual ideas with step-by-step pragmatic examples which makes ease of understanding no matter the level of the reader.

Fusing Big Data, Blockchain and Cryptocurrency

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Author :
Publisher : Springer Nature
ISBN 13 : 3030313913
Total Pages : 132 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Fusing Big Data, Blockchain and Cryptocurrency by : Hossein Hassani

Download or read book Fusing Big Data, Blockchain and Cryptocurrency written by Hossein Hassani and published by Springer Nature. This book was released on 2019-12-18 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: As technology continues to revolutionise today’s economy, Big Data, Blockchain and Cryptocurrency are rapidly transforming themselves into mainstream functions within the financial services industry. This book examines each concept individually, analysing the opportunities and challenges they bring and exploring the potential for future development. The authors further evaluate the fusion of these three important products of the FinTech revolution, illustrating their combined influence on the digital economy. Providing a comprehensive analysis of three innovative technologies, this timely book will appeal to scholars researching innovation in the finance industry and financial services technology more specifically.

Big Data, Code and the Discrete City

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Author :
Publisher : Routledge
ISBN 13 : 1351007386
Total Pages : 197 pages
Book Rating : 4.3/5 (51 download)

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Book Synopsis Big Data, Code and the Discrete City by : Silvio Carta

Download or read book Big Data, Code and the Discrete City written by Silvio Carta and published by Routledge. This book was released on 2019-06-19 with total page 197 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big Data, Code and the Discrete City explores how digital technologies are gradually changing the way in which the public space is designed by architects, managed by policymakers and experienced by individuals. Smart city technologies are superseding the traditional human experience that has characterised the making of the public space until today. This book examines how computers see the public space and the effect of algorithms, artificial intelligences and automated processes on the human experience in public spaces. Divided into three parts, the first part of this book examines the notion of discreteness in its origins and applications to computer sciences. The second section presents a dual perspective: it explores the ways in which public spaces are constructed by the computer-driven logic and then translated into control mechanisms, design strategies and software-aided design. This perspective also describes the way in which individuals perceive this new public space, through its digital logic, and discrete mechanisms (from Wi-Fi coverage to self-tracking). Finally, in the third part, this book scrutinises the discrete logic with which computers operate, and how this is permeating into aspects of city life. This book is valuable for anyone interested in urban studies and digital technologies, and more specifically in big data, urban informatics and public space.

Interpretable Artificial Intelligence: A Perspective of Granular Computing

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Author :
Publisher : Springer Nature
ISBN 13 : 3030649490
Total Pages : 430 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Interpretable Artificial Intelligence: A Perspective of Granular Computing by : Witold Pedrycz

Download or read book Interpretable Artificial Intelligence: A Perspective of Granular Computing written by Witold Pedrycz and published by Springer Nature. This book was released on 2021-03-26 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a comprehensive treatise on the recent pursuits of Artificial Intelligence (AI) – Explainable Artificial Intelligence (XAI) by casting the crucial features of interpretability and explainability in the original framework of Granular Computing. The innovative perspective established with the aid of information granules provides a high level of human centricity and transparency central to the development of AI constructs. The chapters reflect the breadth of the area and cover recent developments in the methodology, advanced algorithms and applications of XAI to visual analytics, knowledge representation, learning and interpretation. The book appeals to a broad audience including researchers and practitioners interested in gaining exposure to the rapidly growing body of knowledge in AI and intelligent systems.

Advancement of Data Processing Methods for Artificial and Computing Intelligence

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Publisher : CRC Press
ISBN 13 : 1003810950
Total Pages : 431 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Advancement of Data Processing Methods for Artificial and Computing Intelligence by : Seema Rawat

Download or read book Advancement of Data Processing Methods for Artificial and Computing Intelligence written by Seema Rawat and published by CRC Press. This book was released on 2024-04-26 with total page 431 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book emphasizes the applications of advances in data processing methods for Artificial Intelligence in today's fast-changing world, as well as to serve society through research, innovation, and development in this field. This book is applicable to a wide range of data that contribute to data science concerns and can be used to promote research in this high-potential new field. People's perceptions of the world and how they conduct their lives have changed dramatically as a result of technological advancements. The world has been gripped by technology, and the advances that are being made every day are undeniably transforming the planet. In the domains of Big Data, engineering, and data science, this cutting-edge technology is ready to support us. Artificial intelligence (AI) is a current research topic because it can be applied to a wide range of applications and disciplines to solve complicated problems and find optimal solutions. In research, medicine, technology, and the social sciences, the benefits of AI have already been proven. Data science, also known as pattern analytics and mining, is a technique for extracting useful and relevant information from databases, enabling better decision-making and strategy formulation in a range of fields. As a result of the exponential growth of data in recent years, the combined notions of big data and AI have given rise to many study areas, such as scale-up behaviour from classical algorithms. Furthermore, combining numerous AI technologies from other areas (such as vision, security, control, and biology) in order to build efficient and durable systems that interact in the real world is a new problem. Despite recent improvements in fundamental AI technologies, the integration of these skills into larger, trustworthy, transparent, and maintainable systems is still in its development. Both conceptually and practically, there are a number of unanswered issues.

Harnessing High-Performance Computing and AI for Environmental Sustainability

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Author :
Publisher : IGI Global
ISBN 13 :
Total Pages : 422 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Harnessing High-Performance Computing and AI for Environmental Sustainability by : Naim, Arshi

Download or read book Harnessing High-Performance Computing and AI for Environmental Sustainability written by Naim, Arshi and published by IGI Global. This book was released on 2024-05-15 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: The world is addressing the insistent challenge of climate change, and the need for innovative solutions has become paramount. In this period of technical developments, artificial intelligence (AI) has emerged as a powerful instrument with enormous prospects to combat climate change and other environmental subjects. AI's ability to process vast amounts of data, identify patterns, and make intelligent predictions offers unprecedented opportunities to tackle this global crisis. High-Performance Computing (HPC) or super-computing environments address these large and complex challenges with individual nodes (computers) working together in a cluster (connected group) to perform massive amounts of computing in a short period. Creating and removing these clusters is often automated in the cloud to reduce costs. Computer networks, communication systems, and other IT infrastructures have a growing environmental footprint due to significant energy consumption and greenhouse gas emissions. To address this seemingly self-defeating conundrum, and create a truly sustainable environment, new energy models, algorithms, methodologies, platforms, tools, and systems are required to support next-generation computing and communication infrastructures. Harnessing High-Performance Computing and AI for Environmental Sustainability navigates through AI-driven solutions from sustainable agriculture and land management to energy optimization and smart grids. It unveils how AI algorithms can analyze colossal datasets, offering unprecedented insights into climate modeling, weather prediction, and long-term climate trends. Integrating AI-powered optimization algorithms revolutionizes energy systems, propelling the transition towards a low-carbon future by reducing greenhouse gas emissions and enhancing efficiency. This book is ideal for educators, environmentalists, industry professionals, and researchers alike, and it explores the ethical dimensions and policies surrounding AI's contribution to environmental development.

Introduction to Algorithmic Government

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Author :
Publisher : Springer Nature
ISBN 13 : 9811602824
Total Pages : 199 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Introduction to Algorithmic Government by : Rajan Gupta

Download or read book Introduction to Algorithmic Government written by Rajan Gupta and published by Springer Nature. This book was released on 2021-03-22 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt: The world is changing at a fast pace, so is the Government and Governance style. Humans are bound to go for Algorithmic strategies rather than manual or electronic ones in different domains. This book introduces the Algorithmic Government or Government by Algorithm, which refers to authorizing machines in the Public Sector for automated decision-making based on Artificial Intelligence, Data Science, and other technologies. It is an emerging concept introduced globally and will be considered revolutionary in the future. The book covers concepts, applications, progress status, and potential use-cases of Algorithmic Government. This book serves as introductory material for the readers from technology, public policy, administration, and management fields.

Computational Intelligence in Healthcare Informatics

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Publisher : Springer Nature
ISBN 13 : 9819988535
Total Pages : 401 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Computational Intelligence in Healthcare Informatics by : D. P. Acharjya

Download or read book Computational Intelligence in Healthcare Informatics written by D. P. Acharjya and published by Springer Nature. This book was released on 2024 with total page 401 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents advancements in computational intelligence in perception with healthcare applications. Besides, the concepts, theory, and applications in various domains of healthcare systems including decision making in healthcare management, disease diagnosis, and electronic health records will be presented in a lucid manner. To achieve these objectives, both theoretical advances and its applications to healthcare problems will be stressed upon. This has been done to make the edited book more flexible and to stimulate further research interest in topics. The book is divided into four sections such as theoretical foundation of computational intelligence techniques, computational intelligence in analyzing health data, computational intelligence in electronic health record (EHR), and computational intelligence in ethical issues in health care.

Advancements in Smart Computing and Information Security

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Publisher : Springer Nature
ISBN 13 : 3031586042
Total Pages : 509 pages
Book Rating : 4.0/5 (315 download)

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Book Synopsis Advancements in Smart Computing and Information Security by : Sridaran Rajagopal

Download or read book Advancements in Smart Computing and Information Security written by Sridaran Rajagopal and published by Springer Nature. This book was released on with total page 509 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Advanced Computational Techniques for Sustainable Computing

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Publisher : CRC Press
ISBN 13 : 1000454312
Total Pages : 339 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Advanced Computational Techniques for Sustainable Computing by : Megha Rathi

Download or read book Advanced Computational Techniques for Sustainable Computing written by Megha Rathi and published by CRC Press. This book was released on 2022-07-25 with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advanced Computational Techniques for Sustainable Computing is considered multi-disciplinary field encompassing advanced computational techniques across several domain, including, Computer Science, Statistical Computation and Electronics Engineering. The core idea of sustainable computing is to deploy algorithms, models, policies and protocols to improve energy efficiency and management of resources, enhancing ecological balance, biological sustenance and other services on societal contexts. The book offers a comprehensive coverage of some of the most essential topics: It provides an insight on building smart sustainable solutions. Includes details of applying mining, learning, IOT and sensor-based techniques for sustainable computing. Entails data extraction from various sources followed with pre-processing of data, and how to make effective use of extracted data for application-based research. Involves practical usage of data analytic language, including R, Python, etc. for improving sustainable services offered by multi-disciplinary domains. Encompasses comparison and analysis of recent technologies and trends. Includes development of smart models for information gain and effective decision making with visualization. The readers would get acquainted with the utilization of massive data sets for intelligent mining and processing. It includes the integration of data mining techniques for effective decision-making in the social, economic, and global environmental domains to achieve sustainability. The implementation of computational frameworks can be accomplished using open-source software for the building of resource-efficient models. The content of the book demonstrates the usage of data science and the internet of things for the advent of smart and realistic solutions for attaining sustainability.

Applications of Artificial Intelligence, Big Data and Internet of Things in Sustainable Development

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Publisher : CRC Press
ISBN 13 : 1000652513
Total Pages : 361 pages
Book Rating : 4.0/5 (6 download)

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Book Synopsis Applications of Artificial Intelligence, Big Data and Internet of Things in Sustainable Development by : Sam Goundar

Download or read book Applications of Artificial Intelligence, Big Data and Internet of Things in Sustainable Development written by Sam Goundar and published by CRC Press. This book was released on 2022-10-19 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on different algorithms and models related to AI, big data and IoT used for various domains. It enables the reader to have a broader and deeper understanding of several perspectives regarding the dynamics, challenges, and opportunities for sustainable development using artificial intelligence, big data and IoT. Applications of Artificial Intelligence, Big Data and Internet of Things (IoT) in Sustainable Development focuses on IT-based advancements in multidisciplinary fields such as healthcare, finance, bioinformatics, industrial automation, and environmental science. The authors discuss the key issues of security, management, and the realization of possible solutions to hurdles in sustainable development. The reader will master basic concepts and deep insights of various algorithms and models for various applications such as healthcare, finance, education, smart cities, smart cars, among others. Finally, the book will also examine the applications and implementation of big data IoT, AI strategies to facilitate the sustainable development goals set by the United Nations by 2030. This book is intended to help researchers, academics, and policymakers to analyze the challenges and future aspects for maintaining sustainable development through IoT, big data, and AI.

Security and Privacy Trends in Cloud Computing and Big Data

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Publisher : CRC Press
ISBN 13 : 1000583635
Total Pages : 233 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Security and Privacy Trends in Cloud Computing and Big Data by : Muhammad Imran Tariq

Download or read book Security and Privacy Trends in Cloud Computing and Big Data written by Muhammad Imran Tariq and published by CRC Press. This book was released on 2022-06-07 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: It is essential for an organization to know before involving themselves in cloud computing and big data, what are the key security requirements for applications and data processing. Big data and cloud computing are integrated together in practice. Cloud computing offers massive storage, high computation power, and distributed capability to support processing of big data. In such an integrated environment the security and privacy concerns involved in both technologies become combined. This book discusses these security and privacy issues in detail and provides necessary insights into cloud computing and big data integration. It will be useful in enhancing the body of knowledge concerning innovative technologies offered by the research community in the area of cloud computing and big data. Readers can get a better understanding of the basics of cloud computing, big data, and security mitigation techniques to deal with current challenges as well as future research opportunities.

Creation Hypothesis in the Anthropocene Epoch

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Author :
Publisher : Springer
ISBN 13 : 3319938797
Total Pages : 138 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Creation Hypothesis in the Anthropocene Epoch by : Andrzej Kaczmarczyk

Download or read book Creation Hypothesis in the Anthropocene Epoch written by Andrzej Kaczmarczyk and published by Springer. This book was released on 2018-08-06 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a discourse on creation hypothesis in light of new scientific findings made in the 20th and 21st centuries, incorporating sacred texts of different religions. It also addresses the universal phenomena of information and mathematics within this context. The discourse makes an important contribution to the ongoing conversation about creationism, intelligent design, and the problems of science vs. religion.

Big Data in Complex Systems

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Author :
Publisher : Springer
ISBN 13 : 331911056X
Total Pages : 502 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Big Data in Complex Systems by : Aboul Ella Hassanien

Download or read book Big Data in Complex Systems written by Aboul Ella Hassanien and published by Springer. This book was released on 2015-01-02 with total page 502 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume provides challenges and Opportunities with updated, in-depth material on the application of Big data to complex systems in order to find solutions for the challenges and problems facing big data sets applications. Much data today is not natively in structured format; for example, tweets and blogs are weakly structured pieces of text, while images and video are structured for storage and display, but not for semantic content and search. Therefore transforming such content into a structured format for later analysis is a major challenge. Data analysis, organization, retrieval, and modeling are other foundational challenges treated in this book. The material of this book will be useful for researchers and practitioners in the field of big data as well as advanced undergraduate and graduate students. Each of the 17 chapters in the book opens with a chapter abstract and key terms list. The chapters are organized along the lines of problem description, related works, and analysis of the results and comparisons are provided whenever feasible.