Data og IT

Starting with the most basic notions, this text introduces all the key elements needed to read and understand current research in the field. The first part of the book focuses on core components, including subalgebras, congruences, lattices, direct and subdirect products, isomorphism theorems, clones, and free algebras. The second part covers to

The text discusses the role of artificial intelligence, human-computer interaction, big data analytics, augmented intelligence and edge computing in intelligent transportation systems.

Recommender systems use information filtering to predict user preferences. They are becoming a vital part of e-business. Recommender Systems: Algorithms and Applications dives into the theoretical underpinnings of these systems and looks at how theory is applied and implemented in actual systems.

Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data. This book covers all the possible areas, applications with arising serious concerns, and challenges towards this emerging area/field in detail.

This book describes the use of different Mathematical Modeling and Soft Computing techniques used in Epidemiology for experiential research in projects such as how infectious diseases progress to show the likely outcome of an epidemic, and to contribute to public health interventions.

Practical, accessible guide to becoming a data scientist, updated to include the latest advances in data science and related fields. Becoming a data scientist is hard. The job focuses on mathematical tools, but also demands fluency with software engineering, understanding of a business situation, and deep understanding of the data itself. This book provides a crash course in data science, combining all the necessary skills into a unified discipline. The focus of The Data Science Handbook is on practical applications and the ability to solve real problems, rather than theoretical formalisms that are rarely needed in practice. Among its key points are: Readers of the third edition of Construction Graphics will also find: An emphasis on software engineering and coding skills, which play a significant role in most real data science problems. Extensive sample code, detailed discussions of important libraries, and a solid grounding in core concepts from computer science (computer architecture, runtime complexity, programming paradigms, etc.) A broad overview of important mathematical tools, including classical techniques in statistics, stochastic modeling, regression, numerical optimization, and more. Extensive tips about the practical realities of working as a data scientist, including understanding related jobs functions, project life cycles, and the varying roles of data science in an organization. Exactly the right amount of theory. A solid conceptual foundation is required for fitting the right model to a business problem, understanding a tool's limitations, and reasoning about discoveries. Data science is a quickly evolving field, and the 2nd edition has been updated to reflect the latest developments, including the revolution in AI that has come from Large Language Models and the growth of ML Engineering as its own discipline. Much of data science has become a skillset that anybody can have, making this book not only for aspiring data scientists, but also for professionals in other fields who want to use analytics as a force multiplier in their organization.

An insightful look at physician integration in today's healthcare market, this book draws on the author's experience and expertise in the field to address those factors relevant to physician integration. She examines topics such as physician reimbursement not keeping pace, declining margins, physician shortages, physician hospital competition, r

This book discusses the role of human personality in the study of behavioral cybersecurity for non-specialists.

This book combines state-of-the-art numerical and experimental techniques applied to water to understand its puzzling properties. Covering multiple length- and time- scales, thermodynamics and working conditions, this book reports a compelling collection from leading scientists in the field of water and water systems.

Focusing on the challenges, directions, and future predictions and the role 5G plays in smart healthcare monitoring, this book offers the fundamental concepts and analysis on methods to apply IoT in monitoring devices for diagnosing and transferring data. It also discusses self-managing to help providers improve their experience of care.

This book discusses the results of a recent large-scale achievement on Big Data Analytics (BDA) topics among Supply Chain Management (SCM) professionals The book intends to show a diversity of supply chain management issues that may benefit from BDA, both in theory and practice.

This book focuses on fusion in biometric systems. It discusses the present level, the limitations, and proposed methods to improve performance. It describes the fundamental concepts, current research, and security related issues.

This book aims to provide theoretical and empirical frameworks and highlights the challenges and solutions with using Big Data for Corporate Social Responsibility (CSR) and Sustainability in the field of digital transformation and tourism.

This book serves the need for developing an insight and understanding of the cutting-edge innovation in Cloud technology. It provides an understanding of cutting-edge innovations, paradigms, and security by using real-life applications, case studies, and examples.

This book focuses on the implementation of various elementary and advanced approaches in AI that can be used in various domains to solve real-time decision-making problems.

The Blockchain is growing fast, from the original bitcoin protocol to the second generation Ethereum platform and today in the process of building third generations Blockchains. We can see how technology evolved from the original form as a distributed database by becoming a fully fledged globally distributed cloud computer.

This book provides insight for researchers and decision-makers on the application of data in the entrepreneurship and sustainable development sector. This book covers how Big Data for Industry 4.0 and Entrepreneurship are effective in resolving business, social, and economic problems.

This book discusses real applications of soft computing techniques, which have proven to be excellent tools to overcome the challenges faced in power systems and related areas.

Cyber-security and its related threats change constantly. The book aims at using practical contemporary machine learning-based techniques for detecting everyday threats such as, malware and dynamic risk analysis on attack graphs to determine how vulnerable the system is and what security measures are needed.

What debates have caused spectrum policy to change course, and which will determine its future direction? This book examines these issues through a series of essays from a range of notable experts.

This volume addresses the current state-of-the art in nanoelectronic technologies and presents potential options for next-generation ICs. It will be useful reference guide for researchers, engineers, and advanced students working in the frontier areas of design and modeling of nanoelectronic devices.