- Table View
- List View
Foundations of Data Visualization
by Min Chen Helwig Hauser Penny Rheingans Gerik ScheuermannThis is the first book that focuses entirely on the fundamental questions in visualization. Unlike other existing books in the field, it contains discussions that go far beyond individual visual representations and individual visualization algorithms. It offers a collection of investigative discourses that probe these questions from different perspectives, including concepts that help frame these questions and their potential answers, mathematical methods that underpin the scientific reasoning of these questions, empirical methods that facilitate the validation and falsification of potential answers, and case studies that stimulate hypotheses about potential answers while providing practical evidence for such hypotheses. Readers are not instructed to follow a specific theory, but their attention is brought to a broad range of schools of thoughts and different ways of investigating fundamental questions. As such, the book represents the by now most significant collective effort for gathering a large collection of discourses on the foundation of data visualization. Data visualization is a relatively young scientific discipline. Over the last three decades, a large collection of computer-supported visualization techniques have been developed, and the merits and benefits of using these techniques have been evidenced by numerous applications in practice. These technical advancements have given rise to the scientific curiosity about some fundamental questions such as why and how visualization works, when it is useful or effective and when it is not, what are the primary factors affecting its usefulness and effectiveness, and so on. This book signifies timely and exciting opportunities to answer such fundamental questions by building on the wealth of knowledge and experience accumulated in developing and deploying visualization technology in practice.
Foundations of Deep Learning (Machine Learning: Foundations, Methodologies, and Applications)
by Dacheng Tao Fengxiang HeDeep learning has significantly reshaped a variety of technologies, such as image processing, natural language processing, and audio processing. The excellent generalizability of deep learning is like a “cloud” to conventional complexity-based learning theory: the over-parameterization of deep learning makes almost all existing tools vacuous. This irreconciliation considerably undermines the confidence of deploying deep learning to security-critical areas, including autonomous vehicles and medical diagnosis, where small algorithmic mistakes can lead to fatal disasters. This book seeks to explaining the excellent generalizability, including generalization analysis via the size-independent complexity measures, the role of optimization in understanding the generalizability, and the relationship between generalizability and ethical/security issues. The efforts to understand the excellent generalizability are following two major paths: (1) developing size-independent complexity measures, which can evaluate the “effective” hypothesis complexity that can be learned, instead of the whole hypothesis space; and (2) modelling the learned hypothesis through stochastic gradient methods, the dominant optimizers in deep learning, via stochastic differential functions and the geometry of the associated loss functions. Related works discover that over-parameterization surprisingly bring many good properties to the loss functions. Rising concerns of deep learning are seen on the ethical and security issues, including privacy preservation and adversarial robustness. Related works also reveal an interplay between them and generalizability: a good generalizability usually means a good privacy-preserving ability; and more robust algorithms might have a worse generalizability. We expect readers can have a big picture of the current knowledge in deep learning theory, understand how the deep learning theory can guide new algorithm designing, and identify future research directions. Readers need knowledge of calculus, linear algebra, probability, statistics, and statistical learning theory.
Foundations of Educational Technology: Integrative Approaches and Interdisciplinary Perspectives
by J. Michael SpectorAn ideal textbook for masters, doctoral, or educational specialist certificate programs, Foundations of Educational Technologyoffers a fresh, project-centered approach to the subject, helping students build an extensive electronic portfolio as they navigate the text. The book addresses fundamental characteristics of educational technology that span various users, contexts and settings; includes a full range of engaging exercises for students that will contribute to their professional growth; and offers the following 4-step pedagogical features inspired by M. D. Merrill's First Principles of Instruction: TELL: Primary presentations and pointers to major sources of information and resources ASK: Activities that encourage students to critique applications and share their individual interpretations SHOW: Activities that demonstrate the application of key concepts and complex skills with appropriate opportunities for learner responses DO: Activities in which learners apply key concepts and complex skills while working on practice assignments and/or projects to be created for their electronic portfolios The first textbook to launch Routledge's new Integrative Approaches to Educational Technologyseries, this indispensible volume covers the core objectives addressed in foundations of educational technology courses.
Foundations of Educational Technology: Integrative Approaches and Interdisciplinary Perspectives (Interdisciplinary Approaches to Educational Technology)
by J. Michael Spector Gwendolyn M. MorelFoundations of Educational Technology offers a fresh, interdisciplinary, problem-centered approach to educational technology, learning design, and instructional systems development. As the implementation of online, blended, hybrid, mobile, open, and adaptive learning systems rapidly expands, emerging tools such as learning analytics, artificial intelligence, mixed realities, serious games, and micro-credentialing are promising more complex and personalized learning experiences. This book provides faculty and graduate students with a conceptual, empirical, and practical basis for the effective use of these systems across contexts, integrating essential theories from the fields of human performance, learning and development, information and communications, and instructional design. Key additions to this revised and expanded third edition include coverage of the latest learning technologies, research from educational neuroscience, discussions about security and privacy, new attention to diversity, equity, and inclusion, updated activities, support materials, references, and more.
Foundations of Educational Technology: Integrative Approaches and Interdisciplinary Perspectives (Interdisciplinary Approaches to Educational Technology)
by J. Michael SpectorAn engaging book for professional educators and an ideal textbook for certificate, masters, and doctoral programs in educational technology, instructional systems and learning design, Foundations of Educational Technology, Second Edition offers a fresh, interdisciplinary, problem-centered approach to the subject, helping students build extensive notes and an electronic portfolio as they navigate the text. The book addresses fundamental aspects of educational technology theory, research and practice that span various users, contexts and settings; includes a full range of engaging exercises for students that will contribute to their professional growth; and offers the following 4-step pedagogical features inspired by M. D. Merrill's First Principles of Instruction: TELL: Primary presentations and pointers to major sources of information and resources ASK: Activities that encourage students to critique applications and share their individual interpretations SHOW: Activities that demonstrate the application of key concepts and complex skills with appropriate opportunities for learner responses DO: Activities in which learners apply key concepts and complex skills while working on practice assignments and/or projects to be created for their electronic portfolios The second edition of this textbook covers the core objectives addressed in introductory educational technology courses while adding new sections on mobile learning, MOOCs, open educational resources, "big data," and learning analytics along with suggestions to instructors and appendices on effective writing, professional associations, journal and trade magazines.
Foundations of Embedded Systems (Studies in Systems, Decision and Control #195)
by Alexander Barkalov Larysa Titarenko Małgorzata MazurkiewiczThis book is devoted to embedded systems (ESs), which can now be found in practically all fields of human activity. Embedded systems are essentially a special class of computing systems designed for monitoring and controlling objects of the physical world. The book begins by discussing the distinctive features of ESs, above all their cybernetic-physical character, and how they can be designed to deliver the required performance with a minimum amount of hardware. In turn, it presents a range of design methodologies. Considerable attention is paid to the hardware implementation of computational algorithms. It is shown that different parts of complex ESs could be implemented using models of finite state machines (FSMs). Also, field-programmable gate arrays (FPGAs) are very often used to implement different hardware accelerators in ESs. The book pays considerable attention to design methods for FPGA-based FSMs, before the closing section turns to programmable logic controllers widely used in industry. This book will be interesting and useful for students and postgraduates in the area of Computer Science, as well as for designers of embedded systems. In addition, it offers a good point of departure for creating embedded systems for various spheres of human activity.
Foundations of Embodied Learning: A Paradigm for Education
by Mitchell J. NathanFoundations of Embodied Learning advances learning, instruction, and the design of educational technologies by rethinking the learner as an integrated system of mind, body, and environment. Body-based processes—direct physical, social, and environmental interactions—are constantly mediating intellectual performance, sensory stimulation, communication abilities, and other conditions of learning. This book’s coherent, evidence-based framework articulates principles of grounded and embodied learning for design and its implications for curriculum, classroom instruction, and student formative and summative assessment for scholars and graduate students of educational psychology, instructional design and technology, cognitive science, the learning sciences, and beyond.
Foundations of Fuzzy Logic and Semantic Web Languages (Open Access)
by Umberto StracciaManaging vagueness/fuzziness is starting to play an important role in Semantic Web research, with a large number of research efforts underway. Foundations of Fuzzy Logic and Semantic Web Languages provides a rigorous and succinct account of the mathematical methods and tools used for representing and reasoning with fuzzy information within Semantic
Foundations of Geometric Algebra Computing
by Dietmar HildenbrandThe author defines "Geometric Algebra Computing" as the geometrically intuitive development of algorithms using geometric algebra with a focus on their efficient implementation, and the goal of this book is to lay the foundations for the widespread use of geometric algebra as a powerful, intuitive mathematical language for engineering applications in academia and industry. The related technology is driven by the invention of conformal geometric algebra as a 5D extension of the 4D projective geometric algebra and by the recent progress in parallel processing, and with the specific conformal geometric algebra there is a growing community in recent years applying geometric algebra to applications in computer vision, computer graphics, and robotics. This book is organized into three parts: in Part I the author focuses on the mathematical foundations; in Part II he explains the interactive handling of geometric algebra; and in Part III he deals with computing technology for high-performance implementations based on geometric algebra as a domain-specific language in standard programming languages such as C++ and OpenCL. The book is written in a tutorial style and readers should gain experience with the associated freely available software packages and applications. The book is suitable for students, engineers, and researchers in computer science, computational engineering, and mathematics.
Foundations of Hardware IP Protection
by Lionel Torres Lilian BossuetThis book provides a comprehensive and up-to-date guide to the design of security-hardened, hardware intellectual property (IP). Readers will learn how IP can be threatened, as well as protected, by using means such as hardware obfuscation/camouflaging, watermarking, fingerprinting (PUF), functional locking, remote activation, hidden transmission of data, hardware Trojan detection, protection against hardware Trojan, use of secure element, ultra-lightweight cryptography, and digital rights management. This book serves as a single-source reference to design space exploration of hardware security and IP protection.
Foundations of Information Security: A Straightforward Introduction
by Jason AndressHigh-level overview of the information security field. Covers key concepts like confidentiality, integrity, and availability, then dives into practical applications of these ideas in the areas of operational, physical, network, application, and operating system security.In this high-level survey of the information security field, best-selling author Jason Andress covers the basics of a wide variety of topics, from authentication and authorization to maintaining confidentiality and performing penetration testing.Using real-world security breaches as examples, Foundations of Information Security explores common applications of these concepts, such as operations security, network design, hardening and patching operating systems, securing mobile devices, as well as tools for assessing the security of hosts and applications. You'll also learn the basics of topics like:Multifactor authentication and how biometrics and hardware tokens can be used to harden the authentication processThe principles behind modern cryptography, including symmetric and asymmetric algorithms, hashes, and certificatesThe laws and regulations that protect systems and dataAnti-malware tools, firewalls, and intrusion detection systemsVulnerabilities such as buffer overflows and race conditionsA valuable resource for beginning security professionals, network systems administrators, or anyone new to the field, Foundations of Information Security is a great place to start your journey into the dynamic and rewarding field of information security.
Foundations of Information and Knowledge Systems
by Marc Gyssens Guillermo SimariThis book constitutes the proceedings of the 9th International Symposiumon Foundations of Information and Knowledge Systems, FoIKS 2016, held in Linz,Austria, in March 2016. The 14 revised full papers presented papers werecarefully reviewed and selected from 23 submissions. The papers address varioustopics such as reasoning about beliefs, uncertainty, incompleteness, andinconsistency, inference and problem solving, querying and pattern mining,dealing with knowledge, logics and complexity.
Foundations of Information and Knowledge Systems: 10th International Symposium, Foiks 2018, Budapest, Hungary, May 14-18, 2018, Proceedings (Lecture Notes in Computer Science #10833)
by Flavio Ferrarotti Stefan WoltranThis book constitutes the refereed proceedings of the 10th International Symposium on Foundations of Information and Knowledge Systems, FoIKS 2018, held in Budapest, Hungary, in May 2018.The 20 revised full papers presented together with 1 invited talk were carefully reviewed and selected from 40 submissions. The papers address various topics such as big data; database design; dynamics of information; information fusion; integrity and constraint management; intelligent agents; knowledge discovery and information retrieval; knowledge representation, reasoning and planning; logics in databases and AI; mathematical foundations; security in information and knowledge systems; semi-structured data and XML; social computing; the semantic web and knowledge management; and the world wide web.
Foundations of Information and Knowledge Systems: 11th International Symposium, FoIKS 2020, Dortmund, Germany, February 17–21, 2020, Proceedings (Lecture Notes in Computer Science #12012)
by Andreas Herzig Juha KontinenThis book constitutes the refereed proceedings of the 11th International Symposium on Foundations of Information and Knowledge Systems, FoIKS 2020, held in Dortmund, Germany, in February 2020.The 19 revised full papers presented were carefully reviewed and selected from 33 submissions. The papers address various topics such as big data; database design; dynamics of information; information fusion; integrity and constraint management; intelligent agents; knowledge discovery and information retrieval; knowledge representation, reasoning and planning; logics in databases and AI; mathematical foundations; security in information and knowledge systems; semi-structured data and XML; social computing; the semantic web and knowledge management; and the world wide web.
Foundations of Information and Knowledge Systems: 13th International Symposium, FoIKS 2024, Sheffield, UK, April 8–11, 2024, Proceedings (Lecture Notes in Computer Science #14589)
by Magdalena Ortiz Arne MeierThis LNCS conference volume constitutes the proceedings of the 13th International Symposium, FoIKS 2024, in Sheffield, UK, in April 2024. The 18 full papers together with 3 short papers included in this volume were carefully reviewed and selected from 42 submissions.The Symposium focuses on fundamental aspect of information and knowledge systems, including submissions that apply ideas, theories, or methods from specific disciplines to information and knowledge systems. Examples of such disciplines are discrete mathematics, logic and algebra, model theory, databases, information theory, complexity theory, algorithmics and computation, statistics, and optimization.
Foundations of Intelligent Systems
by Stefano Ferilli Olivier Pivert Floriana Esposito Mohand-Said Hacid Zbigniew W. RásThis book constitutes the refereed proceedings of the 22ndInternational Symposium on Methodologies for Intelligent Systems, ISMIS 2015,held in Lyon, France, in October 2015. The 31 revised full papers presented together with 18short papers were carefully reviewed and selected from 67 submissions. Thepapers are organized in topical sections on data mining methods; databases,information retrieval, recommender systems; machine learning; knowledgerepresentation, semantic web; emotion recognition, music information retrieval;network analysis, multi-agent systems; applications; planning, classification;and textual data analysis and mining.
Foundations of Intelligent Systems
by Tianrui Li Zhenkun Wen"Foundations of Intelligent Systems" presents selected papers from the 2013 International Conference on Intelligent Systems and Knowledge Engineering (ISKE2013). The aim of this conference is to bring together experts from different expertise areas to discuss the state-of-the-art in Intelligent Systems and Knowledge Engineering, and to present new research results and perspectives on future development. The topics in this volume include, but not limited to: Artificial Intelligence Theories, Pattern Recognition, Intelligent System Models, Speech Recognition, Computer Vision, Multi-Agent Systems, Machine Learning, Soft Computing and Fuzzy Systems, Biological Inspired Computation, Game Theory, Cognitive Systems and Information Processing, Computational Intelligence, etc. The proceedings are benefit for both researchers and practitioners who want to utilize intelligent methods in their specific research fields. Dr. Zhenkun Wen is a Professor at the College of Computer and Software Engineering, Shenzhen University, China. Dr. Tianrui Li is a Professor at the School of Information Science and Technology, Southwest Jiaotong University, Xi'an, China.
Foundations of Intelligent Systems: 23rd International Symposium, ISMIS 2017, Warsaw, Poland, June 26-29, 2017, Proceedings (Lecture Notes in Computer Science #10352)
by Marzena Kryszkiewicz, Annalisa Appice, Dominik Ślęzak, Henryk Rybinski, Andrzej Skowron and Zbigniew W. RaśThis book constitutes the proceedings of the 23rd International Symposium on Foundations of Intelligent Systems, ISMIS 2017, held in Warsaw, Poland, in June 2017. The 56 regular and 15 short papers presented in this volume were carefully reviewed and selected from 118 submissions. The papers include both theoretical and practical aspects of machine learning, data mining methods, deep learning, bioinformatics and health informatics, intelligent information systems, knowledge-based systems, mining temporal, spatial and spatio-temporal data, text and Web mining. In addition, four special sessions were organized; namely, Special Session on Big Data Analytics and Stream Data Mining, Special Session on Granular and Soft Clustering for Data Science, Special Session on Knowledge Discovery with Formal Concept Analysis and Related Formalisms, and Special Session devoted to ISMIS 2017 Data Mining Competition on Trading Based on Recommendations, which was launched as a part of the conference.
Foundations of Intelligent Systems: 24th International Symposium, ISMIS 2018, Limassol, Cyprus, October 29–31, 2018, Proceedings (Lecture Notes in Computer Science #11177)
by Nathalie Japkowicz Michelangelo Ceci George A. Papadopoulos Jiming Liu Zbigniew W. RaśThis book constitutes the proceedings of the 24th International Symposium on Foundations of Intelligent Systems, ISMIS 2018, held in Limassol, Cyprus, in October 2018. The 32 full, 8 short, and 4 application papers presented in this volume were carefully reviewed and selected from 59 submissions. The papers deal with topics such as bioinformatics and health informatics, graph mining, image analysis, intelligent systems, mining complex patterns, novelty detection and class imbalance, social data analysis, spatio-temporal analysis, and topic modeling and opinion mining. In addition, three special sessions were organized, namely: Special Session on Granular and Soft Clustering for Data Science, Special Session on Intelligent Methodologies for Traffic Data Analysis and Mining, and Special Session on Advanced Methods in Machine Learning for Modeling Complex Data.
Foundations of Intelligent Systems: 25th International Symposium, ISMIS 2020, Graz, Austria, September 23–25, 2020, Proceedings (Lecture Notes in Computer Science #12117)
by Alexander Felfernig Gerhard Leitner Zbigniew W. Raś Martin Stettinger Denis HelicThis book constitutes the proceedings of the 25th International Symposium on Foundations of Intelligent Systems, ISMIS 2020, held in Graz, Austria, in October 2020. The conference was held virtually due to the COVID-19 pandemic. The 35 full and 8 short papers presented in this volume were carefully reviewed and selected from 79 submissions. Included is also one invited talk. The papers deal with topics such as natural language processing; deep learning and embeddings; digital signal processing; modelling and reasoning; and machine learning applications.
Foundations of Intelligent Systems: 26th International Symposium, ISMIS 2022, Cosenza, Italy, October 3–5, 2022, Proceedings (Lecture Notes in Computer Science #13515)
by Michelangelo Ceci Giuseppe Manco Elio Masciari Sergio Flesca Zbigniew W. RaśThis book constitutes the proceedings of the 26th International Symposium on Foundations of Intelligent Systems, ISMIS 2022, held in Cosenza, Italy, in October 2022. The 31 regular papers, 11 short papers and 4 industrial papers presented in this volume were carefully reviewed and selected from 71 submissions. They were organized in topical sections as follows: Social Media and Recommendation; Natural Language Processing; Explainability; Intelligent Systems; Classification and Clustering; Complex Data; Medical Applications; Industrial Applications.
Foundations of Intelligent Systems: 27th International Symposium, ISMIS 2024, Poitiers, France, June 17–19, 2024, Proceedings (Lecture Notes in Computer Science #14670)
by Annalisa Appice Mohand-Said Hacid Zbigniew Ras Allel Hadjali Hanane AzzagThis book constitutes the proceedings of the 27th International Symposium on Methodologies for Intelligent Systems, ISMIS 2024, held in Poitiers, France, in June 2024. The 18 full papers, 6 short papers and 5 industrial papers presented in this volume were carefully reviewed and selected from 46 submissions. The papers are organized in the following topical sections: Classification and Clustering; Neural Network and Natural Language Processing; AI tools and Models; Neural Network and Data Mining; Explainability in AI; Industry Session; Learning with Complex Data; Recommendation Systems and Prediction.
Foundations of Joomla
by Bintu HarwaniFoundations of Joomla is a step by step practical guide that explains building web sites and blogs using Joomla - a very popular and powerful content management system (CMS). The book takes you through the steps of installing Joomla, configuring your database, creating a blog and a website, followed by instructions on creating new posts and adding content to your site. Even if you are an absolute beginner and don't have any programming experience, you can build responsive, powerful, and fully featured websites quickly. Following clear and easy to understand instructions, you'll master Joomla 3 by building a sample site throughout the book. What you'll learn Plan, design, create, secure, and administer your site Add menus, modules, articles, images, and other content to your site Apply different templates to make your site attractive and appealing Enable visitors to create accounts and add their own content Add extensions to your site to extend its capabilities, like selling products from your site, etc. Make your site multilingual and search engine friendly Who this book is for Foundations of Joomla addresses beginners who don't have deep experience in programming languages. The book teaches how to build professional fully featured websites using Joomla 3. It explains all the topics that are required in designing, creating, and managing a dynamic and interactive web site through clear and step by step instructions. The book will be very beneficial for developers and instructors too who want to learn or teach building websites. Table of Contents 1: Introduction to Joomla 2: Installing Joomla 3: Your First Steps in Joomla 4: Managing Images and Banner 5: Creating Users and Contacts 6: Creating Interaction 7: Dealing with Menus 8: Adding Modules 9: Adding Extensions 10: Making It Global
Foundations of Large-Scale Multimedia Information Management and Retrieval
by Edward Y. Chang"Foundations of Large-Scale Multimedia Information Management and Retrieval: Mathematics of Perception" covers knowledge representation and semantic analysis of multimedia data and scalability in signal extraction, data mining, and indexing. The book is divided into two parts: Part I - Knowledge Representation and Semantic Analysis focuses on the key components of mathematics of perception as it applies to data management and retrieval. These include feature selection/reduction, knowledge representation, semantic analysis, distance function formulation for measuring similarity, and multimodal fusion. Part II - Scalability Issues presents indexing and distributed methods for scaling up these components for high-dimensional data and Web-scale datasets. The book presents some real-world applications and remarks on future research and development directions. The book is designed for researchers, graduate students, and practitioners in the fields of Computer Vision, Machine Learning, Large-scale Data Mining, Database, and Multimedia Information Retrieval. Dr. Edward Y. Chang was a professor at the Department of Electrical & Computer Engineering, University of California at Santa Barbara, before he joined Google as a research director in 2006. Dr. Chang received his M.S. degree in Computer Science and Ph.D degree in Electrical Engineering, both from Stanford University.
Foundations of Linux Debugging, Disassembling, and Reversing: Analyze Binary Code, Understand Stack Memory Usage, and Reconstruct C/C++ Code with Intel x64
by Dmitry VostokovReview topics ranging from Intel x64 assembly language instructions and writing programs in assembly language, to pointers, live debugging, and static binary analysis of compiled C and C++ code. This book is ideal for Linux desktop and cloud developers. Using the latest version of Debian, you’ll focus on the foundations of the diagnostics of core memory dumps, live and postmortem debugging of Linux applications, services, and systems, memory forensics, malware, and vulnerability analysis. This requires an understanding of x64 Intel assembly language and how C and C++ compilers generate code, including memory layout and pointers. This book provides the background knowledge and practical foundations you’ll need in order to master internal Linux program structure and behavior. It consists of practical step-by-step exercises of increasing complexity with explanations and ample diagrams. You’ll also work with the GDB debugger and use it for disassembly and reversing. By the end of the book, you will have a solid understanding of how Linux C and C++ compilers generate binary code. In addition, you will be able to analyze such code confidently, understand stack memory usage, and reconstruct original C/C++ code. Foundations of Linux Debugging, Disassembling, and Reversing is the perfect companion to Foundations of ARM64 Linux Debugging, Disassembling, and Reversing for readers interested in the cloud or cybersecurity.What You'll LearnReview the basics of x64 assembly languageExamine the essential GDB debugger commands for debugging and binary analysis Study C and C++ compiler code generation with and without compiler optimizations Look at binary code disassembly and reversing patternsSee how pointers in C and C++ are implemented and usedWho This Book Is ForSoftware support and escalation engineers, cloud security engineers, site reliability engineers, DevSecOps, platform engineers, software testers, Linux C/C++ software engineers and security researchers without Intel x64 assembly language background, beginners learning Linux software reverse engineering techniques, and engineers coming from non-Linux environments.