Classification and Data Science in the Digital Age

Classification and Data Science in the Digital Age
Author: Paula Brito
Publisher: Springer Nature
Total Pages: 393
Release: 2023-12-07
Genre: Computers
ISBN: 3031090349

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.

Encyclopedia of Data Science and Machine Learning

Encyclopedia of Data Science and Machine Learning
Author: Wang, John
Publisher: IGI Global
Total Pages: 3296
Release: 2023-01-20
Genre: Computers
ISBN: 1799892212

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.

Jewish Studies in the Digital Age

Jewish Studies in the Digital Age
Author: Gerben Zaagsma
Publisher: Walter de Gruyter GmbH & Co KG
Total Pages: 396
Release: 2022-10-03
Genre: History
ISBN: 3110744880

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.

Data Science and Artificial Intelligence

Data Science and Artificial Intelligence
Author: Chutiporn Anutariya
Publisher: Springer Nature
Total Pages: 368
Release: 2023-11-17
Genre: Computers
ISBN: 9819979692

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.

Challenges and Opportunities for Knowledge Organization in the Digital Age

Challenges and Opportunities for Knowledge Organization in the Digital Age
Author: Fernanda Ribeiro
Publisher: Ergon Verlag
Total Pages: 995
Release: 2018-07-11
Genre: Language Arts & Disciplines
ISBN: 3956504216

Thema der 15. Internationalen Konferenz der International Society for Knowledge Organization vom 9. bis 11. Juli 2018 in Porto ist "Challenges and Opportunities for Knowledge Organization in the Digital Age". Der Konferenzband fasst die Vorträge von Wissenschaftlern aus aller Welt zusammen.

Archives in the Digital Age

Archives in the Digital Age
Author: Abderrazak Mkadmi
Publisher: John Wiley & Sons
Total Pages: 240
Release: 2021-04-22
Genre: Computers
ISBN: 1119825008

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.

Management Consulting in the Era of the Digital Organization

Management Consulting in the Era of the Digital Organization
Author: David Brian Szabla
Publisher: IAP
Total Pages: 236
Release: 2023-07-01
Genre: Business & Economics
ISBN:

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.

Technology and the Intelligence Community

Technology and the Intelligence Community
Author: Margaret E. Kosal
Publisher: Springer
Total Pages: 287
Release: 2018-03-19
Genre: Political Science
ISBN: 3319752324

This volume examines the role of technology in gathering, assimilating and utilizing intelligence information through the ages. Pushing the boundaries of existing works, the articles contained here take a broad view of the use and implementation of technology and intelligence procedures during the cold war era and the space race, the September 2011 attacks, and more recent cyber operations. It looks at the development of different technologies, procedural implications thereof, and the underlying legal and ethical implications. The findings are then used to explore the future trends in technology including cyber operations, big data, open source intelligence, smart cities, and augmented reality. Starting from the core aspects of technical capabilities the articles dig deeper, exploring the hard and soft infrastructure of intelligence gathering procedures and focusing on the human and bureaucratic procedures involved therein. Technology and innovation have played an important role in determining the course of development of the intelligence community. Intelligence gathering for national security, however, is not limited only to the thread of technical capabilities but is a complex fabric of organizational structures, systemic undercurrents, and the role of personnel in key positions of decision making. The book’s findings and conclusions encompass not just temporal variation but also cut across a diverse set of issue areas. This compilation is uniquely placed in the interdisciplinary space combining the lessons from key cases in the past to current developments and implementation of technology options.

Microsoft Certified: Azure Data Scientist Associate (DP-100)

Microsoft Certified: Azure Data Scientist Associate (DP-100)
Author:
Publisher: Cybellium
Total Pages: 229
Release:
Genre: Study Aids
ISBN: 1836798326

Welcome to the forefront of knowledge with Cybellium, your trusted partner in mastering the cutting-edge fields of IT, Artificial Intelligence, Cyber Security, Business, Economics and Science. Designed for professionals, students, and enthusiasts alike, our comprehensive books empower you to stay ahead in a rapidly evolving digital world. * Expert Insights: Our books provide deep, actionable insights that bridge the gap between theory and practical application. * Up-to-Date Content: Stay current with the latest advancements, trends, and best practices in IT, Al, Cybersecurity, Business, Economics and Science. Each guide is regularly updated to reflect the newest developments and challenges. * Comprehensive Coverage: Whether you're a beginner or an advanced learner, Cybellium books cover a wide range of topics, from foundational principles to specialized knowledge, tailored to your level of expertise. Become part of a global network of learners and professionals who trust Cybellium to guide their educational journey. www.cybellium.com

Data Science and Social Research II

Data Science and Social Research II
Author: Paolo Mariani
Publisher: Springer Nature
Total Pages: 391
Release: 2020-11-25
Genre: Social Science
ISBN: 3030512223

The peer-reviewed contributions gathered in this book address methods, software and applications of statistics and data science in the social sciences. The data revolution in social science research has not only produced new business models, but has also provided policymakers with better decision-making support tools. In this volume, statisticians, computer scientists and experts on social research discuss the opportunities and challenges of the social data revolution in order to pave the way for addressing new research problems. The respective contributions focus on complex social systems and current methodological advances in extracting social knowledge from large data sets, as well as modern social research on human behavior and society using large data sets. Moreover, they analyze integrated systems designed to take advantage of new social data sources, and discuss quality-related issues. The papers were originally presented at the 2nd International Conference on Data Science and Social Research, held in Milan, Italy, on February 4-5, 2019.