- Table View
- List View
Ecologies of Internet Video: Beyond YouTube (Routledge Research in Cultural and Media Studies)
by John HondrosThis book explores the complex, dynamic, and contested webs of relationships in which three different groups of video makers found themselves when distributing their work on the Internet. It draws upon both the Deleuzian notion of "assemblage" and Actor-Network Theory, which together provide a rich conceptual framework for characterizing and analysing these webs. The groups examined are a UK video activist project, a community of film and television fans originating in the US, and an association of US community television producers. Rather than taking YouTube as its point of departure, this book centres on the groups themselves, contextualizing their contemporary distribution practices within their pre-Internet histories. It then follows the groups as they drew upon various Internet technologies beyond YouTube to create their often-complex video distribution assemblages, a process that entangled them in these webs of relationships. Through the analysis of detailed ethnographic fieldwork conducted across a period of several years, this book demonstrates that while the groups found some success in achieving their various goals as video makers, their situations were often problematic and their agency limited, with their practices contested by both human and technological actors within their distribution assemblages.
Ecology, Biodiversity and Conservation: With Applications in R (Ecology, Biodiversity and Conservation)
by Antoine Guisan Wilfried Thuiller Di Cola Valeria Damien Georges Zimmermann Niklaus E. Psomas Achilleas Niklaus E. Achilleas PsomasThis book introduces the key stages of niche-based habitat suitability model building, evaluation and prediction required for understanding and predicting future patterns of species and biodiversity. Beginning with the main theory behind ecological niches and species distributions, the book proceeds through all major steps of model building, from conceptualization and model training to model evaluation and spatio-temporal predictions. Extensive examples using R support graduate students and researchers in quantifying ecological niches and predicting species distributions with their own data, and help to address key environmental and conservation problems. Reflecting this highly active field of research, the book incorporates the latest developments from informatics and statistics, as well as using data from remote sources such as satellite imagery. A website at www. unil. ch/hsdm contains the codes and supporting material required to run the examples and teach courses.
Ecommerce Reimagined: Retail and Ecommerce in China
by Sharon GaiThis book offers a practical guide to Chinese ecommerce markets for businesspeople and scholars. China represents a $5.6 trillion retail market, with the highest ecommerce penetration rate in the world. Due to the COVID-19 pandemic, brands are investing more in growing online sales. Written from the heart of the world’s largest e-commerce platform, Ecommerce Reimagined: Retail and Ecommerce in China is a book that aims to satisfy the growing need of entrepreneurs and businesses hoping to tap into China’s market and provide context to students and academics who post an interest in learning about how ecommerce has shaped the Chinese retail space.
Econometric Analysis of Carbon Markets: The European Union Emissions Trading Scheme and the Clean Development Mechanism
by Julien ChevallierThrough analysis of the European Union Emissions Trading Scheme (EU ETS) and the Clean Development Mechanism (CDM), this book demonstrates how to use a variety of econometric techniques to analyze the evolving and expanding carbon markets sphere, techniques that can be extrapolated to the worldwide marketplace. It features stylized facts about carbon markets from an economics perspective, as well as covering key aspects of pricing strategies, risk and portfolio management.
Econometrics and Data Science: Apply Data Science Techniques to Model Complex Problems and Implement Solutions for Economic Problems
by Tshepo Chris NokeriGet up to speed on the application of machine learning approaches in macroeconomic research. This book brings together economics and data science.Author Tshepo Chris Nokeri begins by introducing you to covariance analysis, correlation analysis, cross-validation, hyperparameter optimization, regression analysis, and residual analysis. In addition, he presents an approach to contend with multi-collinearity. He then debunks a time series model recognized as the additive model. He reveals a technique for binarizing an economic feature to perform classification analysis using logistic regression. He brings in the Hidden Markov Model, used to discover hidden patterns and growth in the world economy. The author demonstrates unsupervised machine learning techniques such as principal component analysis and cluster analysis. Key deep learning concepts and ways of structuring artificial neural networks are explored along with training them and assessing their performance. The Monte Carlo simulation technique is applied to stimulate the purchasing power of money in an economy. Lastly, the Structural Equation Model (SEM) is considered to integrate correlation analysis, factor analysis, multivariate analysis, causal analysis, and path analysis.After reading this book, you should be able to recognize the connection between econometrics and data science. You will know how to apply a machine learning approach to modeling complex economic problems and others beyond this book. You will know how to circumvent and enhance model performance, together with the practical implications of a machine learning approach in econometrics, and you will be able to deal with pressing economic problems. What You Will LearnExamine complex, multivariate, linear-causal structures through the path and structural analysis technique, including non-linearity and hidden statesBe familiar with practical applications of machine learning and deep learning in econometricsUnderstand theoretical framework and hypothesis development, and techniques for selecting appropriate modelsDevelop, test, validate, and improve key supervised (i.e., regression and classification) and unsupervised (i.e., dimension reduction and cluster analysis) machine learning models, alongside neural networks, Markov, and SEM modelsRepresent and interpret data and models Who This Book Is ForBeginning and intermediate data scientists, economists, machine learning engineers, statisticians, and business executives
Econometrics of Risk
by Van-Nam Huynh Vladik Kreinovich Songsak Sriboonchitta Komsan SuriyaThis edited book contains several state-of-the-art papers devoted to econometrics of risk. Some papers provide theoretical analysis of the corresponding mathematical, statistical, computational, and economical models. Other papers describe applications of the novel risk-related econometric techniques to real-life economic situations. The book presents new methods developed just recently, in particular, methods using non-Gaussian heavy-tailed distributions, methods using non-Gaussian copulas to properly take into account dependence between different quantities, methods taking into account imprecise ("fuzzy") expert knowledge, and many other innovative techniques. This versatile volume helps practitioners to learn how to apply new techniques of econometrics of risk, and researchers to further improve the existing models and to come up with new ideas on how to best take into account economic risks.
Economic Analysis of the Digital Economy (National Bureau of Economic Research Conference Report)
by Avi Goldfarb, Shane M. Greenstein, and Catherine E. TuckerAs the cost of storing, sharing, and analyzing data has decreased, economic activity has become increasingly digital. But while the effects of digital technology and improved digital communication have been explored in a variety of contexts, the impact on economic activity—from consumer and entrepreneurial behavior to the ways in which governments determine policy—is less well understood. Economic Analysis of the Digital Economy explores the economic impact of digitization, with each chapter identifying a promising new area of research. The Internet is one of the key drivers of growth in digital communication, and the first set of chapters discusses basic supply-and-demand factors related to access. Later chapters discuss new opportunities and challenges created by digital technology and describe some of the most pressing policy issues. As digital technologies continue to gain in momentum and importance, it has become clear that digitization has features that do not fit well into traditional economic models. This suggests a need for a better understanding of the impact of digital technology on economic activity, and Economic Analysis of the Digital Economy brings together leading scholars to explore this emerging area of research.
Economic Crime: From Conception to Response (Global Issues in Crime and Justice)
by Mark Button David Shepherd Branislav HockThis book is the first attempt to establish 'economic crime' as a new sub-discipline within criminology. Fraud, corruption, bribery, money laundering, price-fixing cartels and intellectual property crimes pursued typically for financial and professional gain, have devastating consequences for the prosperity of economic life. While most police forces in the UK and the USA have an ‘economic crime’ department, and many European bodies such as Europol use the term and develop strategies and structures to deal with it, it is yet to grain traction as a widely used term in the academic community. Economic Crime: From Conception to Response aims to change that and covers: definitions of the key premises of economic crime as the academic sub-discipline within criminology; an overview of the key research on each of the crimes associated with economic crime; public, private and global responses to economic crime across its different forms and sectors of the economy, both within the UK and globally. This book is an essential resource for students, academics and practitioners engaged with aspects of economic crime, as well as the related areas of financial crime, white-collar crime and crimes of the powerful.
Economic Development, Crime, and Policing: Global Perspectives (International Police Executive Symposium Co-Publications)
by Dilip K. Das Frederic Lemieux Garth Den HeyerThe 22nd Annual Meeting of the International Police Executive Symposium was held in August 2012 at the United Nations Plaza in New York. Chaired by Dr. Garth den Heyer, the symposium focused on the links between economic development, armed violence, and public safety. Drawn from these proceedings, Economic Development, Crime, and Policing: Global P
Economic Impact of Open Source on Small Business: A Case Study
by Tim O'Reilly Mike Hendrickson Roger MagoulasOpen source is not only a catalyst for small business growth, but also a driver of future success for many startups today. Bringing together Bluehost anonymized customer data and trends with O’Reilly Media’s job market data, along with other sources of trend data, this report captures the current state of open source as it relates to small to medium-sized businesses.
Economic Modeling Using Artificial Intelligence Methods
by Tshilidzi MarwalaEconomic Modeling Using Artificial Intelligence Methods examines the application of artificial intelligence methods to model economic data. Traditionally, economic modeling has been modeled in the linear domain where the principles of superposition are valid. The application of artificial intelligence for economic modeling allows for a flexible multi-order non-linear modeling. In addition, game theory has largely been applied in economic modeling. However, the inherent limitation of game theory when dealing with many player games encourages the use of multi-agent systems for modeling economic phenomena. The artificial intelligence techniques used to model economic data include: multi-layer perceptron neural networksradial basis functionssupport vector machinesrough setsgenetic algorithmparticle swarm optimizationsimulated annealingmulti-agent systemincremental learningfuzzy networksSignal processing techniques are explored to analyze economic data, and these techniques are the time domain methods, time-frequency domain methods and fractals dimension approaches. Interesting economic problems such as causality versus correlation, simulating the stock market, modeling and controling inflation, option pricing, modeling economic growth as well as portfolio optimization are examined. The relationship between economic dependency and interstate conflict is explored, and knowledge on how economics is useful to foster peace - and vice versa - is investigated. Economic Modeling Using Artificial Intelligence Methods deals with the issue of causality in the non-linear domain and applies the automatic relevance determination, the evidence framework, Bayesian approach and Granger causality to understand causality and correlation. Economic Modeling Using Artificial Intelligence Methods makes an important contribution to the area of econometrics, and is a valuable source of reference for graduate students, researchers and financial practitioners.
Economic Models for Managing Cloud Services
by Athman Bouguettaya Sajib Mistry Hai DongThe authors introduce both the quantitative and qualitative economic models as optimization tools for the selection of long-term cloud service requests. The economic models fit almost intuitively in the way business is usually done and maximize the profit of a cloud provider for a long-term period. The authors propose a new multivariate Hidden Markov and Autoregressive Integrated Moving Average (HMM-ARIMA) model to predict various patterns of runtime resource utilization. A heuristic-based Integer Linear Programming (ILP) optimization approach is developed to maximize the runtime resource utilization. It deploys a Dynamic Bayesian Network (DBN) to model the dynamic pricing and long-term operating cost. A new Hybrid Adaptive Genetic Algorithm (HAGA) is proposed that optimizes a non-linear profit function periodically to address the stochastic arrival of requests. Next, the authors explore the Temporal Conditional Preference Network (TempCP-Net) as the qualitative economic model to represent the high-level IaaS business strategies. The temporal qualitative preferences are indexed in a multidimensional k-d tree to efficiently compute the preference ranking at runtime. A three-dimensional Q-learning approach is developed to find an optimal qualitative composition using statistical analysis on historical request patterns. Finally, the authors propose a new multivariate approach to predict future Quality of Service (QoS) performances of peer service providers to efficiently configure a TempCP-Net. It discusses the experimental results and evaluates the efficiency of the proposed composition framework using Google Cluster data, real-world QoS data, and synthetic data. It also explores the significance of the proposed approach in creating an economically viable and stable cloud market. This book can be utilized as a useful reference to anyone who is interested in theory, practice, and application of economic models in cloud computing. This book will be an invaluable guide for small and medium entrepreneurs who have invested or plan to invest in cloud infrastructures and services. Overall, this book is suitable for a wide audience that includes students, researchers, and practitioners studying or working in service-oriented computing and cloud computing.
Economic Systems Analysis: Statistical Indicators (Studies in Systems, Decision and Control #158)
by Elena V. Sibirskaya Lyudmila V. Oveshnikova Lilia A. Mikheykina Innara R. LyapinaThis book explores a wide range of issues related to the methodology, organization, and technologies of analytical work, showing the potential of using analytical tools and statistical indicators for studying socio-economic processes, forecasting, organizing effective companies, and improving managerial decisions. At the level of “living knowledge” in the broad context, it describes the essence of analytical technologies and means of applying analytical and statistical work. The book is of interest to readers regardless of their specialization: scientific research, medicine, pedagogics, law, administrative work, or economic practice. Starting from the premise that readers are familiar with the theory of statistics, which has formulated the general methods and principles of establishing the quantitative characteristics of mass phenomena and processes, it describes the concepts, definitions, indicators and classifications of socio-economic statistics, taking into consideration the international standards and the present-day practice of statistics in Russia. Although concise, the book provides plenty of study material as well as questions at the end of each chapter It is particularly useful for those interested in self-study or remote education, as well as business leaders who are interested in gaining a scientific understanding of their financial and economic activities.
Economic and Policy Implications of Artificial Intelligence (Studies in Systems, Decision and Control #288)
by Domenico Marino Melchiorre A. MonacaThis book presents original research articles addressing various aspects of artificial intelligence as applied to economics, law, management and optimization. The topics discussed include economics, policies, finance, law, resource allocation strategies and information technology. Combining the input of contributing professors and researchers from Italian and international universities, the book will be of interest to students, researchers and practitioners, as well as members of the general public interested in the economic and policy implications of artificial intelligence.
Economics and Social Conflict: Evil Actions and Evil Social Institutions in Virtual Worlds
by Carl D. MildenbergerThis book brings to life the classic thought experiment of a natural state. Provides data on the economic aspects of social conflict of 400.000 people living in a virtual anarchy; showing evil actions and rules exist from an economic perspective. Non-instrumental violence has economic effects and inciting people to fight are not overcome in time.
Economics and the Environment
by Peter van de PutHands-on guidance for programming the next generation of iOS apps If you want to create advanced level iOS apps that get noticed in the App Store, start with this expert book. Written by an international software developer and consultant who has delivered winning solutions for clients all over the world, this professional guide helps you build robust, professional iOS apps at a level that satisfies the demands of clients, companies, and your own creativity. The book includes full source code and invaluable insight from the author's extensive experience. Especially helpful are numerous case studies that shed light on key topics. Explores all topics necessary to help you build professional iOS applications perfectly targeted to clients' needs Covers essential topics including creating a professional UI, networking and data processing, integrating your app, and taking it into production Includes sample code and sample apps, ideal for hands-on learning Examines using social media aggregators, real-time currency converters, QR scanners, customer tracking and quality payment system Provides in-depth examples from the author's extensive career, as well as numerous case studies Take your programming skills to an advanced level with Professional iOS Programming.
Economics of Grids, Clouds, Systems, and Services
by Jörn Altmann Omer F. Rana Gheorghe Cosmin SilaghiThis book constitutes the refereed proceedings of the 12th International Conference on Economics of Grids, Clouds, Systems, and Services, GECON 2015, held in Cluj-Napoca, Romania, in September 2015. The 11 revised full papers and 10 paper-in-progress presented were carefully reviewed and selected from 38 submissions. The presentation sessions that have been set up are: resource allocation, service selection in clouds, energy conservation and smart grids, applications: tools and protocols, community networks and legal and socio-economic aspects.
Economics of Grids, Clouds, Systems, and Services
by Jörn Altmann Kurt Vanmechelen Omer F. RanaThis book constitutes the refereed proceedings of the 11th International Conference on Economics of Grids, Clouds, Systems, and Services, GECON 2014, held in Cardiff, UK, in September 2014. The 8 revised full papers and 7 paper-in-progress presented were carefully reviewed and selected from 24 submissions. The presentation sessions that have been set up are: Cloud Adoption, Work in Progress on Market Dynamics, Cost Optimization, Work in Progress on Pricing, Contracts and Service Selection and Economic Aspects of Quality of Service.
Economics of Grids, Clouds, Systems, and Services: 14th International Conference, GECON 2017, Biarritz, France, September 19-21, 2017, Proceedings (Lecture Notes in Computer Science #10537)
by Jörn Altmann José Ángel Bañares Congduc PhamThis book constitutes the refereed proceedings of the 14th International Conference on Economics of Grids, Clouds, Systems, and Services, GECON 2017, held in Biarritz, France, in September 2017.The 10 full papers and 10 short papers presented together with 3 invited talks were carefully reviewed and selected from 38 submissions.This volume of the GECON 2017 proceedings has been structured in sections following the sessions that comprised the conference program:Pricing in Cloud and Quality of Service, Work in Progress on Service Management, Work in Progress on Business models and Community Cooperation, Work in Progress on Energy Efficiency and Resource Management, Resource Management, Edge Computing, Cloud Federation; and Work in Progress on Service Selection and Coordination.
Economics of Grids, Clouds, Systems, and Services: 15th International Conference, GECON 2018, Pisa, Italy, September 18–20, 2018, Proceedings (Lecture Notes in Computer Science #11113)
by Jörn Altmann José Ángel Bañares Massimo Coppola Emanuele Carlini Daniele D’AgostinoThis book constitutes the refereed proceedings of the 15th International Conference on Economics of Grids, Clouds, Systems, and Services, GECON 2018, held in Pisa, Italy, in September 2018. The 21 full papers and 9 short papers presented together with 1 invited talk were carefully reviewed and selected from 40 submissions.This GECON 2018 proceedings was structured in three special sessions on selected topics, namely: IT service ecosystems enabled through emerging digital technologies; machine learning, cognitive systems and data science for system management; and blockchain technologies and economics.
Economics of Grids, Clouds, Systems, and Services: 16th International Conference, GECON 2019, Leeds, UK, September 17–19, 2019, Proceedings (Lecture Notes in Computer Science #11819)
by Jörn Altmann José Ángel Bañares Maurizio Naldi Karim Djemame Orna Agmon Ben-YehudaThis book constitutes the refereed proceedings of the 16th International Conference on Economics of Grids, Clouds, Systems, and Services, GECON 2019, held in Leeds, UK, in September 2019. The 12 full papers and 10 short papers presented in this book were carefully reviewed and selected from 48 submissions. This GECON 2019 proceedings was structured in selected topics, namely: blockchain technology and smart contracts; cost-based computing allocation; resource, service and communication federations; economic assessment, business and pricing models; blockchain and network function virtualization technologies; economic models for cyber-physical systems, industry 4.0 and sustainable systems; resource management; and emerging ideas.
Economics of Grids, Clouds, Systems, and Services: 17th International Conference, GECON 2020, Izola, Slovenia, September 15–17, 2020, Revised Selected Papers (Lecture Notes in Computer Science #12441)
by Jörn Altmann José Ángel Bañares Karim Djemame Bruno Tuffin Orna Agmon Ben-Yehuda Vlado StankovskiThis book constitutes the refereed proceedings of the 17th International Conference on Economics of Grids, Clouds, Systems, and Services, GECON 2020, held in Izola, Slovenia, in September 2020. Due to COVID-19 pandemic the conference was held virtually by the University of Ljubljana. The 11 full papers and 9 short papers presented in this book were carefully reviewed and selected from 40 submissions. The papers are structured in selected topics, namely: Smartness in Distributed Systems; Decentralizing Clouds to Deliver Intelligence at the Edge; Digital Infrastructures for Pandemic Response and Countermeasures; Dependability and Sustainability; Economic Computing and Storage; Poster Session.
Economics of Grids, Clouds, Systems, and Services: 18th International Conference, GECON 2021, Virtual Event, September 21–23, 2021, Proceedings (Lecture Notes in Computer Science #13072)
by Jörn Altmann José Ángel Bañares Konstantinos Tserpes Karim Djemame Bruno Tuffin Orna Agmon Ben-Yehuda Vlado StankovskiThis book constitutes the refereed proceedings of the 18th International Conference on Economics of Grids, Clouds, Systems, and Services, GECON 2021, in September 2021. Due to COVID-19 pandemic the conference was held virtually hosted by the Libera Università Maria SS. Assunta (LUMSA), Rome, Italy. The 7 full papers and 2 short papers presented in this book were carefully reviewed and selected from 41 submissions. In addition, this book includes 8 work-in-progress papers and 2 extended abstracts. Chapters “AI Technologies and Motives for AI Adoption by Countries and Firms: A Systematic Literature Review”; “Knowledge Management Framework for Cloud Federation”; “Architecture for Orchestrating Containers in Cloud” and “Towards Software Compliance Specification and Enforcement using TOSCA” are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Economics of Grids, Clouds, Systems, and Services: 19th International Conference, GECON 2022, Izola, Slovenia, September 13–15, 2022, Proceedings (Lecture Notes in Computer Science #13430)
by Jörn Altmann José Ángel Bañares Karim Djemame Bruno Tuffin Orna Agmon Ben-Yehuda Vlado StankovskiThis book constitutes the refereed proceedings of the 19th International Conference on Economics of Grids, Clouds, Systems, and Services, GECON 2022, held in Izola, Slovenia, in September 2022. The 4 full papers presented in this book were carefully reviewed and selected from 22 submissions. In addition, this book includes 6 work-in-progress papers, 4 new ideas paper, and two invited papers. This series of conferences serves as a meeting place to bring together distributed systems expertise (e.g., in resource allocation, quality of service management, and energy consumption) with economics expertise (focusing on both micro- and macro-economic modelling and analysis) for creating effective solutions in this space.
Economics of Grids, Clouds, Systems, and Services: 20th International Conference, GECON 2024, Rome, Italy, September 26–27, 2024, Proceedings (Lecture Notes in Computer Science #15358)
by José Ángel Bañares Maurizio Naldi Karim Djemame Jörn AltmannThis book constitutes the refereed proceedings of the 20th International Conference on Economics of Grids, Clouds, Systems, and Services, GECON 2024, held in Rome, Italy, during September 26–27, 2024. The 12 full papers and 10 short papers presented in this book were carefully reviewed and selected from 37 submissions. They focus on topics such as: Function as a Service: Resource Management and QoS; Cloud Business Models, Pricing, Trading, Network Neutrality; Edge Computing and Energy Awareness; AI/Forecasting/Prediction Sales; and Resource Management in Cloud Applications: Simulation, Streaming Processing and Workflows.