This book considers transformations within the context of computing science and information science, as they are essential in changing organizations. It not only considers transformations of structured models, rather, the transformation of instances (i.e. the actual contents of those structures) is addressed as well.

This is an open access book.Amidst the advancement of modern science and technology, especially the development of information technology, our society has entered a stage of highly developed information technology. We should do our utmost to utilize the achievements yielded by scientific and technological innovation, vigorously promote the informatization of education management, and provide quality services for education and teaching. The importance of information technology education in educational management simply cannot be overstated. Educational management is closely related to college education and teaching. Only through good educational management can education and teaching proceed smoothly. The realization of education management information is conducive to the propulsion of high efficiency in school management, as well as to the smooth implementation of teaching objectives and better participation of students and parents in school management. Informationization is the mainstream of the world's economic development, while informationization of teaching management is the product of adapting to the demand of time development. We educational management workers should learn from the excellent educational managers at home and abroad, strive to improve their information level, and synchronize with the Times. In order to provide a more convenient and efficient communication platform for relevant academic researchers, we organized the 2023 3rd International Conference on Education, Information Management and Service Science (EIMSS 2023). 2023 3rd International Conference on Education, Information Management and Service Science (EIMSS 2023) will be held on July 21–23, 2023 in Qingdao, China. EIMSS 2023 aims to bring together innovative academics and industrial experts in the field of Education, Information Management and Service Science to a common forum. The primary goal of the conference is to stimulate research and developmental activities in Education, Information Management and Service Science, and another goal is to facilitate the scientific exchange of information between researchers, developers, engineers, students, and practitioners working all around the world. As an ideal platform for individuals to exchange views and experiences in Education, Information Management, Service Science, and related domains, the conference will convene annually. We warmly invite you to participate in EIMSS 2023 and look forward to seeing you in Qingdao!

Apply today's best practices for managing information, processes and people to maximize success within the constraints of project cost, scope and schedule. Benefit from the most effective real-world methods and new tools, such as resource breakdown structures and new treatment of optimum duration, earned value, and integration. Plus, you'll explore a conceptual approach that will help you integrate the most crucial element for project success: people.

• Semantics in data visualization • Semantic services for mobile users • Supporting tools • Applications of semantic-driven approaches These topics are to be understood as specifically related to semantic issues. Contributions submitted to the journal and dealing with semantics of data will be considered even if they are not within the topics in the list. While the physical appearance of the journal issues is like the books from the we- known Springer LNCS series, the mode of operation is that of a journal. Contributions can be freely submitted by authors and are reviewed by the Editorial Board. Contributions may also be invited, and nevertheless carefully reviewed, as in the case for issues that contain extended versions of the best papers from major conferences addressing data semantics issues. Special issues, focusing on a specific topic, are coordinated by guest editors once the proposal for a special issue is accepted by the Editorial Board. Finally, it is also possible that a journal issue be devoted to a single text.

Health and social care systems around the world are facing radical organizational, methodological and technological paradigm changes to meet the requirements for improving quality and safety of care as well as efficiency and efficacy of care processes. In this they’re trying to manage the challenges of ongoing demographic changes towards aging, multi-diseased societies, development of human resources, a health and social services consumerism, medical and biomedical progress, and exploding costs for health-related R&D as well as health services delivery. Furthermore, they intend to achieve sustainability of global health systems by transforming them towards intelligent, adaptive and proactive systems focusing on health and wellness with optimized quality and safety outcomes.

The three-volume set LNICST 465, 466 and 467 constitutes the proceedings of the Second EAI International Conference on Application of Big Data, Blockchain, and Internet of Things for Education Informatization, BigIoT-EDU 2022, held as virtual event, in July 29–31, 2022. The 204 papers presented in the proceedings were carefully reviewed and selected from 550 submissions. BigIoT-EDU aims to provide international cooperation and exchange platform for big data and information education experts, scholars and enterprise developers to share research results, discuss existing problems and challenges, and explore cutting-edge science and technology. The conference focuses on research fields such as “Big Data” and “Information Education. The use of Artificial Intelligence (AI), Blockchain and network security lies at the heart of this conference as we focused on these emerging technologies to excel the progress of Big Data and information education.

This is an open access book. As a leading role in the global megatrend of scientific innovation, China has been creating a more and more open environment for scientific innovation, increasing the depth and breadth of academic cooperation, and building a community of innovation that benefits all. Such endeavors are making new contributions to the globalization and creating a community of shared future. To adapt to this changing world and China's fast development in the new era, 2023 8th International Conference on Modern Management and Education Technology (MMET 2023) to be held in September 22–24, 2023. This conference takes "bringing together global wisdom in scientific innovation to promote high-quality development" as the theme and focuses on cutting-edge research fields including Modern Management and Education Technology. MMET 2023 encourages the exchange of information at the forefront of research in different fields, connects the most advanced academic resources in China and the world, transforms research results into industrial solutions, and brings together talent, technology and capital to drive development. The conference sincerely invites experts, scholars, business people and other relevant personnel from universities, scientific research institutions at home and abroad to attend and exchange!

Generate effective results in a variety of visually appealing charts using the plotting packages in Python About This Book Explore various tools and their strengths while building meaningful representations that can make it easier to understand data Packed with computational methods and algorithms in diverse fields of science Written in an easy-to-follow categorical style, this book discusses some niche techniques that will make your code easier to work with and reuse Who This Book Is For If you are a Python developer who performs data visualization and wants to develop existing knowledge about Python to build analytical results and produce some amazing visual display, then this book is for you. A basic knowledge level and understanding of Python libraries is assumed. What You Will Learn Gather, cleanse, access, and map data to a visual framework Recognize which visualization method is applicable and learn best practices for data visualization Get acquainted with reader-driven narratives and author-driven narratives and the principles of perception Understand why Python is an effective tool to be used for numerical computation much like MATLAB, and explore some interesting data structures that come with it Explore with various visualization choices how Python can be very useful in computation in the field of finance and statistics Get to know why Python is the second choice after Java, and is used frequently in the field of machine learning Compare Python with other visualization approaches using Julia and a JavaScript-based framework such as D3.js Discover how Python can be used in conjunction with NoSQL such as Hive to produce results efficiently in a distributed environment In Detail Python has a handful of open source libraries for numerical computations involving optimization, linear algebra, integration, interpolation, and other special functions using array objects, machine learning, data mining, and plotting. Pandas have a productive environment for data analysis. These libraries have a specific purpose and play an important role in the research into diverse domains including economics, finance, biological sciences, social science, health care, and many more. The variety of tools and approaches available within Python community is stunning, and can bolster and enhance visual story experiences. This book offers practical guidance to help you on the journey to effective data visualization. Commencing with a chapter on the data framework, which explains the transformation of data into information and eventually knowledge, this book subsequently covers the complete visualization process using the most popular Python libraries with working examples. You will learn the usage of Numpy, Scipy, IPython, MatPlotLib, Pandas, Patsy, and Scikit-Learn with a focus on generating results that can be visualized in many different ways. Further chapters are aimed at not only showing advanced techniques such as interactive plotting; numerical, graphical linear, and non-linear regression; clustering and classification, but also in helping you understand the aesthetics and best practices of data visualization. The book concludes with interesting examples such as social networks, directed graph examples in real-life, data structures appropriate for these problems, and network analysis. By the end of this book, you will be able to effectively solve a broad set of data analysis problems. Style and approach The approach of this book is not step by step, but rather categorical. The categories are based on fields such as bioinformatics, statistical and machine learning, financial computation, and linear algebra. This approach is beneficial for the community in many different fields of work and also helps you learn how one approach can make sense across many fields

This book constitutes the refereed post-conference proceedings of the International Conferences ICCASA and ICTCC 2019, held in November 2019 in My Tho, Vietnam. The 20 revised full papers presented were carefully selected from 33 submissions. The papers of ICCASA cover a wide spectrum in the area of context-aware-systems. CAS is characterized by its self- facets such as self-organization, self-configuration, self-healing, self-optimization, self-protection used to dynamically control computing and networking functions. The papers of ICTCC cover formal methods for self-adaptive systems and discuss natural approaches and techniques for computation and communication.

IEEE Technology and Engineering Management Society Body of Knowledge (TEMSBOK) IEEE TEMS Board of Directors-approved body of knowledge dedicated to technology and engineering management The IEEE Technology and Engineering Management Society Body of Knowledge (TEMSBOK) establishes a set of common practices for technology and engineering management, acts as a reference for entrepreneurs, establishes a basis for future official certifications, and summarizes the literature on the management field in order to publish reference documentation for new initiatives. The editors have used a template approach with authors that instructed them on how to introduce their manuscript, how to organize the technology and area fundamentals, the managing approach, techniques and benefits, realistic examples that show the application of concepts, recommended best use (focusing on how to identify the most adequate approach to typical cases), with a summary and conclusion of each section, plus a list of references for further study. The book is structured according to the following area knowledge chapters: business analysis, technology adoption, innovation, entrepreneurship, project management, digital disruption, digital transformation of industry, data science and management, and ethics and legal issues. Specific topics covered include: Market requirement analysis, business analysis for governance planning, financial analysis, evaluation and control, and risk analysis of market opportunities Leading and managing working groups, optimizing group creation and evolution, enterprise agile governance, and leading agile organizations and working groups Marketing plans for new products and services, risk analysis and challenges for entrepreneurs, and procurement and collaboration Projects, portfolios and programs, economic constraints and roles, integration management and control of change, and project plan structure The IEEE Technology and Engineering Management Society Body of Knowledge (TEMSBOK) will appeal to engineers, graduates, and professionals who wish to prepare for challenges in initiatives using new technologies, as well as managers who are responsible for conducting business involving technology and engineering.