The contributions gathered in this open access book focus on modern methods for data science and classification and present a series of real-world applications. Numerous research topics are covered, ranging from statistical inference and modeling to clustering and dimension reduction, from functional data analysis to time series analysis, and network analysis. The applications reflect new analyses in a variety of fields, including medicine, marketing, genetics, engineering, and education. The book comprises selected and peer-reviewed papers presented at the 17th Conference of the International Federation of Classification Societies (IFCS 2022), held in Porto, Portugal, July 19–23, 2022. The IFCS federates the classification societies and the IFCS biennial conference brings together researchers and stakeholders in the areas of Data Science, Classification, and Machine Learning. It provides a forum for presenting high-quality theoretical and applied works, and promoting and fostering interdisciplinary research and international cooperation. The intended audience is researchers and practitioners who seek the latest developments and applications in the field of data science and classification.

This book examines the various types of literacy that are important in the Digital Age of rapid technological change and proliferating information resources in a variety of formats. According to the American Library Association (www.ala.org), "information literacy is a set of abilities requiring individuals to recognize when information is needed and have the ability to locate, evaluate, and use effectively the needed information." Information literacy forms the basis for lifelong learning and is common to all disciplines, to all learning environments, and to all levels of education. Information literacy is an umbrella term that includes a variety of specific competencies: cultural literacy, library literacy, computer literacy, network literacy, and media literacy. Each topic addressed in the book includes contextual background information, basic concepts, a resource list, exercises and activities to reinforce the important learning concepts addressed in each chapter.

Big data and machine learning are driving the Fourth Industrial Revolution. With the age of big data upon us, we risk drowning in a flood of digital data. Big data has now become a critical part of both the business world and daily life, as the synthesis and synergy of machine learning and big data has enormous potential. Big data and machine learning are projected to not only maximize citizen wealth, but also promote societal health. As big data continues to evolve and the demand for professionals in the field increases, access to the most current information about the concepts, issues, trends, and technologies in this interdisciplinary area is needed. The Encyclopedia of Data Science and Machine Learning examines current, state-of-the-art research in the areas of data science, machine learning, data mining, and more. It provides an international forum for experts within these fields to advance the knowledge and practice in all facets of big data and machine learning, emphasizing emerging theories, principals, models, processes, and applications to inspire and circulate innovative findings into research, business, and communities. Covering topics such as benefit management, recommendation system analysis, and global software development, this expansive reference provides a dynamic resource for data scientists, data analysts, computer scientists, technical managers, corporate executives, students and educators of higher education, government officials, researchers, and academicians.

As in all fields and disciplines of the humanities, Jewish Studies scholars find themselves confronted with the rapidly increasing availability of digital resources (data), new technologies to interrogate and analyze them (tools), and the question of how to critically engage with these developments. This volume discusses how the digital turn has affected the field of Jewish Studies. It explores the current state of the art and probes how digital developments can be harnessed to address the specific questions, challenges and problems that Jewish Studies scholars confront. In a field characterised by dispersed sources, and heterogeneous scripts and languages that speak to a multitude of cultures and histories, of abundance as well as loss, what is the promise of Digital Humanities methods--and what are the challenges and pitfalls? The articles in this volume were originally presented at the international conference #DHJewish - Jewish Studies in the Digital Age, which was organised at the Centre for Contemporary and Digital History (C2DH) at University of Luxembourg in January 2021. The first big international conference of its kind, it brought together more than sixty scholars and heritage practitioners to discuss how the digital turn affects the field of Jewish Studies.

This book constitutes the proceedings of the First International Conference, DSAI 2023, held in Bangkok, Thailand, during November 27–30, 2023. The 22 full papers and the 4 short papers included in this volume were carefully reviewed and selected from 70 submissions. This volume focuses on ideas, methodologies, and cutting-edge research that can drive progress and foster interdisciplinary collaboration in the fields of data science and artificial intelligence.

Archiving has become an increasingly complex process. The challenge is no longer how to store the data but how to store it intelligently, in order to exploit it over time, while maintaining its integrity and authenticity. Digital technologies bring about major transformations, not only in terms of the types of documents that are transferred to and stored in archives, in the behaviors and practices of the humanities and social sciences (digital humanities), but also in terms of the volume of data and the technological capacity for managing and preserving archives (Big Data). Archives in The Digital Age focuses on the impact of these various digital transformations on archives, and examines how the right to memory and the information of future generations is confronted with the right to be forgotten; a digital prerogative that guarantees individuals their private lives and freedoms.

The 4th Industrial Revolution is well underway. Our lives are changing at an exponential rate, resulting in a multi-faceted, deeply interconnected world. The digital revolution is integrating multiple technologies, which is leading to unprecedented paradigm shifts in the economy, management, and society. Entire systems across countries, industries, and societies are being transformed, triggering a transformation that is unlike anything humankind has ever experienced. Given the confluence of dramatic changes in organizational life, triggering emerging technology breakthroughs such as robotics, the internet of things, biotechnology, materials science, data science and big data, and quantum computing, this volume of the Research in Management Consulting series explores how the research and practice of management consulting is unfolding in a new era of profound shifts in the way researchers and consultants sense, think, and act. The authors of this volume bring both to scholars and practitioners the latest discussions of efforts to understand consulting in organizations amplified by the fusion of technologies across physical, digital, and biological worlds. They also bring to light a movement from human supervised artificial intelligence systems to fully autonomous artificial intelligence systems that have the potential to demonstrate intelligence beyond uman capabilities.