ECAI 2023

ECAI 2023 PDF Author: K. Gal
Publisher: IOS Press
ISBN: 164368437X
Category : Computers
Languages : en
Pages : 3328

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Book Description
Artificial intelligence, or AI, now affects the day-to-day life of almost everyone on the planet, and continues to be a perennial hot topic in the news. This book presents the proceedings of ECAI 2023, the 26th European Conference on Artificial Intelligence, and of PAIS 2023, the 12th Conference on Prestigious Applications of Intelligent Systems, held from 30 September to 4 October 2023 and on 3 October 2023 respectively in Kraków, Poland. Since 1974, ECAI has been the premier venue for presenting AI research in Europe, and this annual conference has become the place for researchers and practitioners of AI to discuss the latest trends and challenges in all subfields of AI, and to demonstrate innovative applications and uses of advanced AI technology. ECAI 2023 received 1896 submissions – a record number – of which 1691 were retained for review, ultimately resulting in an acceptance rate of 23%. The 390 papers included here, cover topics including machine learning, natural language processing, multi agent systems, and vision and knowledge representation and reasoning. PAIS 2023 received 17 submissions, of which 10 were accepted after a rigorous review process. Those 10 papers cover topics ranging from fostering better working environments, behavior modeling and citizen science to large language models and neuro-symbolic applications, and are also included here. Presenting a comprehensive overview of current research and developments in AI, the book will be of interest to all those working in the field.

Building Bridges between Soft and Statistical Methodologies for Data Science

Building Bridges between Soft and Statistical Methodologies for Data Science PDF Author: Luis A. García-Escudero
Publisher: Springer Nature
ISBN: 3031155092
Category : Computers
Languages : en
Pages : 421

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Book Description
Nowadays, data analysis is becoming an appealing topic due to the emergence of new data types, dimensions, and sources. This motivates the development of probabilistic/statistical approaches and tools to cope with these data. Different communities of experts, namely statisticians, mathematicians, computer scientists, engineers, econometricians, and psychologists are more and more interested in facing this challenge. As a consequence, there is a clear need to build bridges between all these communities for Data Science. This book contains more than fifty selected recent contributions aiming to establish the above referred bridges. These contributions address very different and relevant aspects such as imprecise probabilities, information theory, random sets and random fuzzy sets, belief functions, possibility theory, dependence modelling and copulas, clustering, depth concepts, dimensionality reduction of complex data and robustness.

Information Literacy in the Digital Age

Information Literacy in the Digital Age PDF Author: Teresa Welsh
Publisher: Elsevier
ISBN: 1780630352
Category : Language Arts & Disciplines
Languages : en
Pages : 237

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Book Description
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. - Based on content, resources, assignments, and exercises developed for an academic information literacy course - In addition to scholarly content on particular topics, each chapter will include practical applications and activities related to information literacy concepts

Data Science and Machine Learning

Data Science and Machine Learning PDF Author: Dirk P. Kroese
Publisher: CRC Press
ISBN: 1000730778
Category : Business & Economics
Languages : en
Pages : 538

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Book Description
Focuses on mathematical understanding Presentation is self-contained, accessible, and comprehensive Full color throughout Extensive list of exercises and worked-out examples Many concrete algorithms with actual code

Intelligent Systems and Data Science

Intelligent Systems and Data Science PDF Author: Nguyen Thai-Nghe
Publisher: Springer Nature
ISBN: 981979613X
Category :
Languages : en
Pages : 338

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Book Description


Data Science and Artificial Intelligence

Data Science and Artificial Intelligence PDF Author: Chutiporn Anutariya
Publisher: Springer Nature
ISBN: 9819979692
Category : Computers
Languages : en
Pages : 368

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Book Description
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.

Data Science and Social Research II

Data Science and Social Research II PDF Author: Paolo Mariani
Publisher: Springer Nature
ISBN: 3030512223
Category : Social Science
Languages : en
Pages : 391

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Book Description
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.

Elgar Encyclopedia of Law and Data Science

Elgar Encyclopedia of Law and Data Science PDF Author: Comandé, Giovanni
Publisher: Edward Elgar Publishing
ISBN: 1839104597
Category : Law
Languages : en
Pages : 400

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Book Description
This Encyclopedia brings together jurists, computer scientists, and data analysts to map the emerging field of data science and law for the first time, uncovering the challenges, opportunities, and fault lines that arise as these groups are increasingly thrown together by expanding attempts to regulate and adapt to a data-driven world. It explains the concepts and tools at the crossroads of the many disciplines involved in data science and law, bridging scientific and applied domains. Entries span algorithmic fairness, consent, data protection, ethics, healthcare, machine learning, patents, surveillance, transparency and vulnerability.

Cybersecurity and Data Science Innovations for Sustainable Development of HEICC

Cybersecurity and Data Science Innovations for Sustainable Development of HEICC PDF Author: Thangavel Murugan
Publisher: CRC Press
ISBN: 1040257860
Category : Computers
Languages : en
Pages : 496

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Book Description
Cybersecurity and Data Science Innovations for Sustainable Development of HEICC: Healthcare, Education, Industry, Cities, and Communities brings together a collection of chapters that explore the intersection of cybersecurity, data science, and sustainable development across key sectors: healthcare, education, industry, cities, and communities. It delves into cybersecurity advancements and examines how innovations in cybersecurity are shaping the landscape of healthcare, education, industry, and urban environments. Data science advancements take center stage, showcasing the transformative power of data analytics in improving outcomes across HEICC sectors. Whether it’s optimizing resource allocation in healthcare, protecting patient privacy, personalizing learning experiences in education, enhancing efficiency in industry, or fostering sustainable development in cities and communities, data science offers unprecedented opportunities for innovation and progress. Key points: Healthcare system security and privacy, protecting patient data, and enabling development of novel healthcare solutions Securing educational data, improving online learning security, and harnessing data analytics for tailored education approaches Manufacturing, finance, and transportation. Diving into critical infrastructure security, detecting and mitigating cyber threats, and using data‐driven insights for better industrial operations Helping cities and communities develop sustainably, smart city security challenges, data privacy in urban environments, data analytics for urban planning, and community cybersecurity awareness This book serves as a comprehensive guide for researchers, practitioners, policymakers, and stakeholders navigating the complex landscape of cybersecurity and data science in the pursuit of sustainable development across HEICC domains.

Toward a Global Approach to Data in the Digital Age

Toward a Global Approach to Data in the Digital Age PDF Author: Mr. Vikram Haksar
Publisher: International Monetary Fund
ISBN: 1513599429
Category : Business & Economics
Languages : en
Pages : 43

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Book Description
The ongoing economic and financial digitalization is making individual data a key input and source of value for companies across sectors, from bigtechs and pharmaceuticals to manufacturers and financial services providers. Data on human behavior and choices—our “likes,” purchase patterns, locations, social activities, biometrics, and financing choices—are being generated, collected, stored, and processed at an unprecedented scale.