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"This book aims to assist researchers in both understanding and utilizing online data collection by providing methodological knowledge related to online research, and by presenting information about the empirical quality, the availability, and the location of specific online instruments"--Provided by publisher.
Written by experts on the frontlines, Investigating Internet Crimes provides seasoned and new investigators with the background and tools they need to investigate crime occurring in the online world. This invaluable guide provides step-by-step instructions for investigating Internet crimes, including locating, interpreting, understanding, collecting, and documenting online electronic evidence to benefit investigations. Cybercrime is the fastest growing area of crime as more criminals seek to exploit the speed, convenience and anonymity that the Internet provides to commit a diverse range of criminal activities. Today's online crime includes attacks against computer data and systems, identity theft, distribution of child pornography, penetration of online financial services, using social networks to commit crimes, and the deployment of viruses, botnets, and email scams such as phishing. Symantec's 2012 Norton Cybercrime Report stated that the world spent an estimated $110 billion to combat cybercrime, an average of nearly $200 per victim. Law enforcement agencies and corporate security officers around the world with the responsibility for enforcing, investigating and prosecuting cybercrime are overwhelmed, not only by the sheer number of crimes being committed but by a lack of adequate training material. This book provides that fundamental knowledge, including how to properly collect and document online evidence, trace IP addresses, and work undercover. - Provides step-by-step instructions on how to investigate crimes online - Covers how new software tools can assist in online investigations - Discusses how to track down, interpret, and understand online electronic evidence to benefit investigations - Details guidelines for collecting and documenting online evidence that can be presented in court
Data Analytics for Intelligent Transportation Systems provides in-depth coverage of data-enabled methods for analyzing intelligent transportation systems (ITS), including the tools needed to implement these methods using big data analytics and other computing techniques. The book examines the major characteristics of connected transportation systems, along with the fundamental concepts of how to analyze the data they produce. It explores collecting, archiving, processing, and distributing the data, designing data infrastructures, data management and delivery systems, and the required hardware and software technologies. It presents extensive coverage of existing and forthcoming intelligent transportation systems and data analytics technologies. All fundamentals/concepts presented in this book are explained in the context of ITS. Users will learn everything from the basics of different ITS data types and characteristics to how to evaluate alternative data analytics for different ITS applications. They will discover how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications, along with key safety and environmental applications for both commercial and passenger vehicles, data privacy and security issues, and the role of social media data in traffic planning. Data Analytics for Intelligent Transportation Systems will prepare an educated ITS workforce and tool builders to make the vision for safe, reliable, and environmentally sustainable intelligent transportation systems a reality. It serves as a primary or supplemental textbook for upper-level undergraduate and graduate ITS courses and a valuable reference for ITS practitioners. - Utilizes real ITS examples to facilitate a quicker grasp of materials presented - Contains contributors from both leading academic and commercial domains - Explains how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications - Includes exercise problems in each chapter to help readers apply and master the learned fundamentals, concepts, and techniques - New to the second edition: Two new chapters on Quantum Computing in Data Analytics and Society and Environment in ITS Data Analytics
This book constitutes the refereed post-conference proceedings of the Third EAI International Conference on Data and Information in Online Environments, DIONE 2022, held as virtual event, in July 28-29, 2022. Due to COVID-19 pandemic the conference was held virtually. DIONE 2022 aims to bring together academicians and practitioners willing to discuss topics around the intersection of Computer Science, Information Science, and Communication Science. The attractiveness of the scope and topics has brought relevant research results. This proceeding consists of chapters covering deep learning, data management, software design, social networks, natural language processing, and data processing in various contexts like scholarly publishing, health and medicine, higher education, innovation and research, energy and transportation, and organizations. The 18 full papers and 2 short papers were carefully reviewed and selected from 56 submissions. The papers are grouped in thematic sessions as follows: Informational challenges for the study of Science, Technology and Society relationships; and Advances in Artificial Intelligence for data processing and analysis in online social environments.
All are agreed that the digital economy contributes to a dynamic evolution of markets and competition. Nonetheless, concerns are increasingly raised about the market dominance of a few key players. Because these companies hold the power to drive rivals out of business, regulators have begun to seek scope for competition enforcement in cases where companies claim that withholding data is needed to satisfy customers and cut costs. This book is the first focus on how competition law enforcement tools can be applied to refusals of dominant firms to give access data on online platforms such as search engines, social networks, and e-commerce platforms – commonly referred to as the ‘gatekeepers’ of the Internet. The question arises whether the denial of a dominant firm to grant competitors access to its data could constitute a ‘refusal to deal’ and lead to competition law liability under the so-called ‘essential facilities doctrine', according to which firms need access to shared knowledge in order to be able to compete. A possible duty to share data with rivals also brings to the forefront the interaction of competition law with data protection legislation considering that the required information may include personal data of individuals. Building on the refusal to deal concept, and using a multidisciplinary approach, the analysis covers such issues and topics as the following: – data portability; – interoperability; – data as a competitive advantage or entry barrier in digital markets; – market definition and dominance with respect to data; – disruptive versus sustaining innovation; – role of intellectual property regimes; – economic trade-off in essential facilities cases; – relationship of competition enforcement with data protection law and – data-related competition concerns in merger cases. The author draws on a wealth of relevant material, including EU and US decision-making practice, case law, and policy documents, as well as economic and empirical literature on the link between competition and innovation. The book concludes with a proposed framework for the application of the essential facilities doctrine to potential forms of abuse of dominance relating to data. In addition, it makes suggestions as to how data protection interests can be integrated into competition policy. An invaluable contribution to ongoing academic and policy discussions about how data-related competition concerns should be addressed under competition law, the analysis clearly demonstrates how existing competition tools for market definition and assessment of dominance can be applied to online platforms. It will be of immeasurable value to the many jurists, business persons, and academics concerned with this very timely subject.
Foreword by Steven Pinker Blending the informed analysis of The Signal and the Noise with the instructive iconoclasm of Think Like a Freak, a fascinating, illuminating, and witty look at what the vast amounts of information now instantly available to us reveals about ourselves and our world—provided we ask the right questions. By the end of an average day in the early twenty-first century, human beings searching the internet will amass eight trillion gigabytes of data. This staggering amount of information—unprecedented in history—can tell us a great deal about who we are—the fears, desires, and behaviors that drive us, and the conscious and unconscious decisions we make. From the profound to the mundane, we can gain astonishing knowledge about the human psyche that less than twenty years ago, seemed unfathomable. Everybody Lies offers fascinating, surprising, and sometimes laugh-out-loud insights into everything from economics to ethics to sports to race to sex, gender and more, all drawn from the world of big data. What percentage of white voters didn’t vote for Barack Obama because he’s black? Does where you go to school effect how successful you are in life? Do parents secretly favor boy children over girls? Do violent films affect the crime rate? Can you beat the stock market? How regularly do we lie about our sex lives and who’s more self-conscious about sex, men or women? Investigating these questions and a host of others, Seth Stephens-Davidowitz offers revelations that can help us understand ourselves and our lives better. Drawing on studies and experiments on how we really live and think, he demonstrates in fascinating and often funny ways the extent to which all the world is indeed a lab. With conclusions ranging from strange-but-true to thought-provoking to disturbing, he explores the power of this digital truth serum and its deeper potential—revealing biases deeply embedded within us, information we can use to change our culture, and the questions we’re afraid to ask that might be essential to our health—both emotional and physical. All of us are touched by big data everyday, and its influence is multiplying. Everybody Lies challenges us to think differently about how we see it and the world.
The art and science of audiovisual preservation and access has evolved at breakneck speed in the digital age. The Joint Technical Symposium (JTS) is organized by the Coordinating Council of Audiovisual Archives Associations and brings experts from around the world to learn of technologies and developments in the technical issues affecting the long-term survival and accessibility of audiovisual collections. This collection of essays is derived from presentations made at the 2016 JTS held in Singapore and presents an overview of the latest audiovisual preservation methods and techniques, archival best practices in media storage, as well as analog-to-digital conversion challenges and their solutions.
This book constitutes the proceedings of the 10th International Conference on Advanced Data Mining and Applications, ADMA 2014, held in Guilin, China during December 2014. The 48 regular papers and 10 workshop papers presented in this volume were carefully reviewed and selected from 90 submissions. They deal with the following topics: data mining, social network and social media, recommend systems, database, dimensionality reduction, advance machine learning techniques, classification, big data and applications, clustering methods, machine learning, and data mining and database.
Information and Knowledge Organisation explores the role of knowledge organisation in the digital humanities. By focusing on how information is described, represented and organised in both research and practice, this work furthers the transdisciplinary nature of digital humanities. Including contributions from Asia, Australia, Europe, North America and the Middle East, the volume explores the potential uses of, and challenges involved in, applying the organisation of information and knowledge in the various areas of Digital Humanities. With a particular focus on the digital worlds of cultural heritage collections, the book also includes chapters that focus on machine learning, knowledge graphs, text analysis, text annotations and network analysis. Other topics covered include: semantic technologies, conceptual schemas and data augmentation, digital scholarly editing, metadata creation, browsing, visualisation and relevance ranking. Most importantly, perhaps, the book provides a starting point for discussions about the impact of information and knowledge organisation and related tools on the methodologies used in the Digital Humanities field. Information and Knowledge Organisation is intended for use by researchers, students and professionals interested in the role information and knowledge organisation plays in the Digital Humanities. It will be essential reading for those working in library and information science, computer science and across the humanities. The Open Access version of this book, available at www.taylorfrancis.com, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license.