Page 1
Page 1
Web Engineering ; 21st International Conference, ICWE 2021, Biarritz, France, May 18–21, 2021, Proceedings
Constitutes the proceedings of the 21st International Conference on Web Engineering, ICWE 2021, which was supposed to be held in Biarritz, France, in May 2021. Due to the corona pandemic the conference changed to a virtual format. The total of 22 full and 13 short contributions presented in this volume were carefully reviewed and selected from 128 submissions. The book also contains 6 demonstration, 1 poster, 3 PhD, and 3 tutorial papers. The papers were organized in topical sections named: Semantic Web; social Web; Web modeling and engineering; Web big data and data analytics; Web mining and knowledge extraction; Web of Things; Web programming; Web user interfaces; PhD symposium; posters and demonstrations; and tutorials.
Urban Informatics
This book is the first to systematically introduce the principles of urban informatics and its application to every aspect of the city that involves its functioning, control, management, and future planning.
Understanding the creeping crisis
This book explores a special species of trouble afflicting modern societies: creeping crises. These crises evolve over time, reveal themselves in different ways, and resist comprehensive responses despite periodic public attention. As a result, these crises continue to creep in front of our eyes. This book begins by defining the concept of a creeping crisis, showing how existing literature fails to properly define and explore this phenomenon and outlining the challenges such crises pose to practitioners. Drawing on ongoing research, this book presents a diverse set of case studies on: antimicrobial resistance, climate change-induced migration, energy extraction, big data, Covid-19, migration, foreign fighters, and cyberattacks
Topological Data Analysis for Genomics and Evolution : Topology in Biology
Biology has entered the age of Big Data. A technical revolution has transformed the field, and extracting meaningful information from large biological data sets is now a central methodological challenge. Algebraic topology is a well-established branch of pure mathematics that studies qualitative descriptors of the shape of geometric objects. It aims to reduce comparisons of shape to a comparison of algebraic invariants, such as numbers, which are typically easier to work with. Topological data analysis is a rapidly developing subfield that leverages the tools of algebraic topology to provide robust multiscale analysis of data sets. This book introduces the central ideas and techniques of topological data analysis and its specific applications to biology, including the evolution of viruses, bacteria and humans, genomics of cancer, and single cell characterization of developmental processes.
Top 10 Challenges of Big Data Analytics
The application of big data analytics in all fields of research is a critical driver for the competitiveness of all countries in the modern world. Currently, governments and industry generate large amounts of data driven by record keeping, compliance, regulations, data privacy, and dynamic requirements, and thus there is a need to create better mechanisms to analyse data, and hence support organizational development, as well as providing aid to policymakers' decision-making processes. The book is focused on different sectors of activity (i.e. the Health sector, Public Administration, the Education sector, among others), and on different economic dimensions (i.e. Entrepreneurship, and Innovation) and links big data analytics to different fields of research, such as artificial intelligence and other emergent technologies; which are challenging organisations, governments, and societies, with the need to face the new imperative of being prepared for the very uncertain and tremendously complex future â in which big data analytics will play a very decisive and active role.
The role of artificial intelligence in improving financial performance and predicting risk : An empirical study on jpmorgan chase
Aims to investigate the effects of AI applications on the banking sector through a case study of JPMorgan Chase. The research studies how AI technology affects increases of financial performance, operational efficiency, and risk reduction and customers satisfaction. with jpmorgan as a point of reference, the research takes a close look at how tools such as the coin for contract review, fraud detection systems, chatbots, and algorithmic trading have proved revolutionary in modern banking.
The Pangenome: Diversity, Dynamics and Evolution of Genomes
The realization that the genetic repertoire of a biological species always encompasses more than the genome of each individual is one of the earliest examples of big data in biology that opened biology to the unbounded.
The Palgrave Handbook of Digital Russia Studies
This handbook presents a multidisciplinary and multifaceted perspective on how the ‘digital’ is simultaneously changing Russia and the research methods scholars use to study Russia. It provides a critical update on how Russian society, politics, economy, and culture are reconfigured in the context of ubiquitous connectivity and accounts for the political and societal responses to digitalization.
The future of management in an AI world : Redefining purpose and strategy in the fourth industrial revolution
Containing international insights from leading figures from the world of management and technology, this book addresses the big challenges facing organisations, including: Decision-making / Corporate strategy / People management and leadership / Organisational design
The Future of Financial Systems in the Digital Age : Perspectives from Europe and Japan
The increasing capacity of digital networks and computing power, together with the resulting connectivity and availability of “big data”, are impacting financial systems worldwide with rapidly advancing deep-learning algorithms and distributed ledger technologies. They transform the structure and performance of financial markets, the service proposition of financial products, the organization of payment systems, the business models of banks, insurance companies and other financial service providers, as well as the design of money supply regimes and central banking.
The Everyday Life of an Algorithm
This book begins with an algorithm–a set of IF…THEN rules used in the development of a new, ethical, video surveillance architecture for transport hubs. Readers are invited to follow the algorithm over three years, charting its everyday life. Questions of ethics, transparency, accountability and market value must be grasped by the algorithm in a series of ever more demanding forms of experimentation. Here the algorithm must prove its ability to get a grip on everyday life if it is to become an ordinary feature of the settings where it is being put to work. Through investigating the everyday life of the algorithm, the book opens a conversation with existing social science research that tends to focus on the power and opacity of algorithms. In this book we have unique access to the algorithm’s design, development and testing, but can also bear witness to its fragility and dependency on others.
The Ethics of Medical Data Donation
Presents an ethical approach to utilizing personal medical data. It features essays that combine academic argument with practical application of ethical principles. The contributors are experts in ethics and law. They address the challenges in the re-use of medical data of the deceased on a voluntary basis. This pioneering study looks at the many factors involved when individuals and organizations wish to share information for research, policy-making, and humanitarian purposes.It include the ethics of data donation, the legal and regulatory challenges, and the current and future collaborations.
The elements of big data value : Foundations of the research and innovation ecosystem
Presents the foundations of the Big Data research and innovation ecosystem and the associated enablers that facilitate delivering value from data for business and society. It provides insights into the key elements for research and innovation, technical architectures, business models, skills, and best practices to support the creation of data-driven solutions and organizations.
The Economics of Big Science : Essays by Leading Scientists and Policymakers
Identify the key ingredients for success in capitalizing on public investments in scientific projects and the development of large-scale research infrastructures.
The Data Shake : Opportunities and obstacles for urban policy making
Represents one of the key milestones of PoliVisu, an H2020 research and innovation project funded by the European Commission under the call “Policy-development in the age of big data: data-driven policy-making, policy-modelling and policy-implementation”.
The cloud-to-thing continuum : Opportunities and challenges in cloud, fog and edge computing
Offers massive societal and economic opportunities while at the same time significant challenges, not least the delivery and management of the technical infrastructure underpinning it, the deluge of data generated from it, ensuring privacy and security, and capturing value from it.
The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy ; SPIoT-2020, Vol.1
Presents the proceedings of The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT-2020), held in Shanghai, China, on November 6, 2020. Due to the COVID-19 outbreak problem, SPIoT-2020 conference was held online by Tencent Meeting. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering, addressing a number of broad themes, including novel machine learning and big data analytics methods for IoT security, data mining and statistical modelling for the secure IoT and machine learning-based security detecting protocols, which inspire the development of IoT security and privacy technologies.
Technologies and Applications for Big Data Value
This book explores cutting-edge solutions and best practices for big data and data-driven AI applications for the data-driven economy. It provides the reader with a basis for understanding how technical issues can be overcome to offer real-world solutions to major industrial areas.
Sustainable development goals : Harnessing Business to achieve the SDGs through finance, technology and law reform
Discusses how financial institutions, such as UBS Wealth Management, Manulife Asset Management and Moody’s Rating Agency are supporting the SDGs. The opportunities arising from Blockchain, Big Data, Digital Identity and cutting-edge FinTech and RegTech applications are explored, whilst the relevance of sustainable and transparent global supply chains is underscored. Significant attention is paid to law reform which can accelerate progress of the SDGs through SME Financing, Crowdfunding, Peer-to-Peer Lending and tax restructuring.
Sustainable Construction in the Era of the Fourth Industrial Revolution
Provides readers with an understanding of various concepts, benefits, and practices that the adoption of Fourth Industrial Revolution (4IR) technolo>gies can bring when working towards sustainable construction goals. As digitalization continues to advance rapidly, the pressures on stakeholders in the architecture, engineering, construction, and operation (AECO) industry to revamp and restructure their activities and outputs become increasingly prev>alent. This research book explains the importance of various digital tools and principles to achieve sustainable construction projects. It adopts various stand>ards and concepts to highlight how 4IR technologies could assist and accelerate construction sustainability. It is the first book to link construction management with various digital tools to enhance construction projects’ sustainability. It also provides an in-depth insight into the concept of sustainable construction 4.0 across both developing and developed countries for construction professionals, sustainability experts, researchers, educators, and other stakeholders.The book can be adopted as a research guide, framework, and reference on sustainable construction, the concept of sustainable projects, digitalization in the construction industry, and the 4IR.
