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Handbook of Data Management: 1999 Edition
by Sanjiv PurbaPacked with dozens of no-nonsense chapters written by leading professionals, Handbook of Data Management, 1999 Edition shows your students how to design, build, and maintain high-performance, high-availability databases in multiple environments. Handbook of Data Management, 1999 Edition is the most comprehensive, single-volume guide of its kind. The book provides the latest, most innovative solutions for planning, developing, and running a powerful data management function. Here students will find exhaustive coverage of the range of data repositories (from legacy indexed files to object data bases and data warehouses) as well as details on everything from strategic planning to maximizing database performance. Completely revised and updated to reflect latebreaking technologies, Handbook of Data Management, 1999 Edition includes extensive case studies and straightforward descriptions showing students how to:implement Web-enabled data warehousesbuild multimedia databasesmaster data mininguse enterprise database modelingstay up-to-date with data conversion and migrationmaximize OLAP architectures and toolsHandbook of Data Management, 1999 Edition also provides ongoing coverage of the latest tools and techniques regarding:organization for quality information systemsdata definitiondatabase design and managementobject and hybrid databasesand moreEach contributor to Handbook of Data Management, 1999 Edition is an expert with first-hand experience in database and data management. These contributors provide a depth and breadth of coverage you and your students simply won't find anywhere else.Prepare your students for "real-world" business computing. Start them off with Handbook of Data Management, 1999 Edition.
Handbook of Data Management1999 Edition: 1999 Edition
by Sanjiv PurbaWritten by leading industry experts, the Data Management Handbook is a comprehensive, single-volume guide to the most innovative ideas on how to plan, develop, and run a powerful data management function - as well as handle day-to-day operations. The book provides practical, hands-on guidance on the strategic, tactical, and technical aspects of dat
Handbook of Data Quality: Research and Practice
by Shazia SadiqThe issue of data quality is as old as data itself. However, the proliferation of diverse, large-scale and often publically available data on the Web has increased the risk of poor data quality and misleading data interpretations. On the other hand, data is now exposed at a much more strategic level e.g. through business intelligence systems, increasing manifold the stakes involved for individuals, corporations as well as government agencies. There, the lack of knowledge about data accuracy, currency or completeness can have erroneous and even catastrophic results. With these changes, traditional approaches to data management in general, and data quality control specifically, are challenged. There is an evident need to incorporate data quality considerations into the whole data cycle, encompassing managerial/governance as well as technical aspects. Data quality experts from research and industry agree that a unified framework for data quality management should bring together organizational, architectural and computational approaches. Accordingly, Sadiq structured this handbook in four parts: Part I is on organizational solutions, i.e. the development of data quality objectives for the organization, and the development of strategies to establish roles, processes, policies, and standards required to manage and ensure data quality. Part II, on architectural solutions, covers the technology landscape required to deploy developed data quality management processes, standards and policies. Part III, on computational solutions, presents effective and efficient tools and techniques related to record linkage, lineage and provenance, data uncertainty, and advanced integrity constraints. Finally, Part IV is devoted to case studies of successful data quality initiatives that highlight the various aspects of data quality in action. The individual chapters present both an overview of the respective topic in terms of historical research and/or practice and state of the art, as well as specific techniques, methodologies and frameworks developed by the individual contributors. Researchers and students of computer science, information systems, or business management as well as data professionals and practitioners will benefit most from this handbook by not only focusing on the various sections relevant to their research area or particular practical work, but by also studying chapters that they may initially consider not to be directly relevant to them, as there they will learn about new perspectives and approaches.
Handbook of Data Structures and Applications (Chapman & Hall/CRC Computer and Information Science Series)
by Dinesh P. Mehta and Sartaj SahniThe Handbook of Data Structures and Applications was first published over a decade ago. This second edition aims to update the first by focusing on areas of research in data structures that have seen significant progress. While the discipline of data structures has not matured as rapidly as other areas of computer science, the book aims to update those areas that have seen advances. Retaining the seven-part structure of the first edition, the handbook begins with a review of introductory material, followed by a discussion of well-known classes of data structures, Priority Queues, Dictionary Structures, and Multidimensional structures. The editors next analyze miscellaneous data structures, which are well-known structures that elude easy classification. The book then addresses mechanisms and tools that were developed to facilitate the use of data structures in real programs. It concludes with an examination of the applications of data structures. Four new chapters have been added on Bloom Filters, Binary Decision Diagrams, Data Structures for Cheminformatics, and Data Structures for Big Data Stores, and updates have been made to other chapters that appeared in the first edition.The Handbook is invaluable for suggesting new ideas for research in data structures, and for revealing application contexts in which they can be deployed. Practitioners devising algorithms will gain insight into organizing data, allowing them to solve algorithmic problems more efficiently.
Handbook of Differential Entropy
by Joseph Victor Michalowicz Jonathan M. Nichols Frank BucholtzOne of the main issues in communications theory is measuring the ultimate data compression possible using the concept of entropy. While differential entropy may seem to be a simple extension of the discrete case, it is a more complex measure that often requires a more careful treatment.Handbook of Differential Entropy provides a comprehensive intro
Handbook of Digital 3D Reconstruction of Historical Architecture (Synthesis Lectures on Engineers, Technology, & Society #28)
by Sander Münster Fabrizio Ivan Apollonio Ina Bluemel Federico Fallavollita Riccardo Foschi Marc Grellert Marinos Ioannides Peter Heinrich Jahn Richard Kurdiovsky Piotr Kuroczyński Jan-Eric Lutteroth Heike Messemer Georg SchelbertThis open access book is a handbook for students, experts and interested parties who want to learn more about digital 3D reconstruction of historical architecture. The book provides answers to the core questions of the subject: What is a digital 3D model or a digital 3D reconstruction? How are they created and what are they used for? Practical instructions, condensed knowledge, explanations of technical terms and references to example projects, literature and further references provide information of varying density and thus enable an individual introduction to the subject.The book combines extensive knowledge on the topic of "digital 3D reconstruction of historical architecture" and provides practical instructions for independent implementation. Up to now, there has been no cross-disciplinary vocabulary for technical terms in this field, so this publication makes a start.The book is aimed at students, experts in the field and the interested public and offers various possibilities for the different target groups to delve deeply into the subject.The book was created within the research network "Digital 3D Reconstruction as Tools for Research in Architectural History," which was funded by the German Research Foundation (DFG) from 2018 to 2023. The authors combined their expertise in the fields of art and architectural history, architecture, university teaching and media informatics.
Handbook of Digital CMOS Technology, Circuits, and Systems
by Karim AbbasThis book provides a comprehensive reference for everything that has to do with digital circuits. The author focuses equally on all levels of abstraction. He tells a bottom-up story from the physics level to the finished product level. The aim is to provide a full account of the experience of designing, fabricating, understanding, and testing a microchip. The content is structured to be very accessible and self-contained, allowing readers with diverse backgrounds to read as much or as little of the book as needed. Beyond a basic foundation of mathematics and physics, the book makes no assumptions about prior knowledge. This allows someone new to the field to read the book from the beginning. It also means that someone using the book as a reference will be able to answer their questions without referring to any external sources.
Handbook of Digital Face Manipulation and Detection: From DeepFakes to Morphing Attacks (Advances in Computer Vision and Pattern Recognition)
by Christian Rathgeb Ruben Tolosana Ruben Vera-Rodriguez Christoph BuschThis open access book provides the first comprehensive collection of studies dealing with the hot topic of digital face manipulation such as DeepFakes, Face Morphing, or Reenactment. It combines the research fields of biometrics and media forensics including contributions from academia and industry. Appealing to a broad readership, introductory chapters provide a comprehensive overview of the topic, which address readers wishing to gain a brief overview of the state-of-the-art. Subsequent chapters, which delve deeper into various research challenges, are oriented towards advanced readers. Moreover, the book provides a good starting point for young researchers as well as a reference guide pointing at further literature. Hence, the primary readership is academic institutions and industry currently involved in digital face manipulation and detection. The book could easily be used as a recommended text for courses in image processing, machine learning, media forensics, biometrics, and the general security area.
Handbook of Digital Games and Entertainment Technologies
by Ryohei Nakatsu Matthias Rauterberg Paolo CiancariniThe topics treated in this handbook cover all areas of games and entertainment technologies, such as digital entertainment; technology, design/art, and sociology. The handbook consists of contributions from top class scholars and researchers from the interdisciplinary topic areas. The aim of this handbook is to serving as a key reference work in the field and provides readers with a holistic picture of this interdisciplinary field covering technical issues, aesthetic/design issues, and sociological issues. At present, there is no reference work in the field that provides such a broad and complete picture of the field. Engineers and researchers who want to learn about this emerging area will be able to find adequate answers regarding technology issues on digital entertainment. Designers and artists can learn how their skills and expertise can contribute to this emerging area. Also researchers working in the field of sociology and psychology will find how their experience and knowledge are connected to other areas such as technology and art/design. Although topics are written by foremost experts from the field, the description for each topic has been intended to be easily understandable but yet comprehensive enough so that it caters not only for the experts but also beginners and students in the field.
Handbook of Digital Homecare
by Adrie Dumay Kanagasingam Yogesan Lodewijk Bos Leonard Goldschmidt Griet VerhennemanThis second volume of the "Handbook of Digital Homecare" reviews the attempts to develop new ICT services for digital homecare, i.e. services to deliver, maintain and improve care in the home environment using the latest ICT technology and devices. The book highlights the successful projects as well as failures of Digital homecare and provides several "lessons learned" to the wide audience of Health and ICT professionals.
Handbook of Digital Human Modeling: Research for Applied Ergonomics and Human Factors Engineering (Human Factors and Ergonomics)
by Vincent G. DuffyThe rapid introduction of sophisticated computers, services, telecommunications systems, and manufacturing systems has caused a major shift in the way people use and work with technology. It is not surprising that computer-aided modeling has emerged as a promising method for ensuring products meet the requirements of the consumer. The Handbook of D
Handbook of Digital Image Synthesis: Scientific Foundations of Rendering
by Vincent PegoraroThe Handbook of Digital Image Synthesis is the most up-to-date reference guide in the rapidly developing field of computer graphics. A wide range of topics, such as, applied mathematics, data structures, and optical perception and imaging help to provide a well-rounded view of the necessary formulas for computer rendering. In addition to this diverse approach, the presentation of the material is substantiated by numerous figures and computer-generated images. From basic principles to advanced theories, this book, provides the reader with a strong foundation of computer formulas and rendering through a step-by-step process. . Key Features: Provides unified coverage of the broad range of fundamental topics in rendering Gives in-depth treatment of the basic and advanced concepts in each topic Presents a step-by-step derivation of the theoretical results needed for implementation Illustrates the concepts with numerous figures and computer-generated images Illustrates the core algorithms using platform-independent pseudo-code
Handbook of Digital Innovation, Transformation, and Sustainable Development in a Post-Pandemic Era (Systems Innovation Book Series)
by M. Affan Badar Ruchika Gupta Priyank Srivastava Imran Ali Elizabeth A. CudneyBusinesses have faced a variety of difficulties as a result of the global pandemic, and how they responded to this disruption has affected both their resilience and their ability to get through this crisis. Digital technologies have played a crucial role in addressing these issues and fostering resilience. It is, therefore, imperative to explore options for post-pandemic business transformation and rethinking sustainable development.Handbook of Digital Innovation, Transformation, and Sustainable Development in a Post-Pandemic Era, covers digital innovation and business transformation to build resilience for sustainable development and growth and highlights the impact of supply chain disruptions and solutions to sustain. The handbook stands out for its inclusion of industry cases from various regions across the globe. By presenting the use of big data, blockchain technology, and Industry 4.0, the handbook conveys how to work towards sustainable development and offers self-reliant and sustainable business models.Researchers and practitioners in industrial engineering, engineering management, business management, supply chain management, and digital technologies along with businesses can apply the research and practices covered in the handbook.Chapter 14 of this book is freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license.
Handbook of Digital Twins
by Zhihan LyuOver the last two decades, Digital Twins (DTs) have become the intelligent representation of future development in industrial production and daily life. Consisting of over 50 chapters by more than 100 contributors, this comprehensive handbook explains the concept, architecture, design specification and application scenarios of DTs.As a virtual model of a process, product or service to pair the virtual and physical worlds, DTs allow data analysis and system monitoring by using simulations. The fast-growing technology has been widely studied and developed in recent years. Featured with centralization, integrity and dynamics, it is cost-effective to drive innovation and performance. Many fields saw the adaptation and implementation across industrial production, healthcare, smart city, transportation and logistics. World-famous enterprises such as Siemens, Tesla, ANSYS and General Electric have built smart factories and pioneered digital production, heading towards Industry 4.0.This book aims to provide an in-depth understanding and reference of DTs to technical personnel in the field, students and scholars of related majors, and general readers interested in intelligent industrial manufacturing.
Handbook of Discrete and Combinatorial Mathematics (Discrete Mathematics and Its Applications)
by Kenneth H. RosenHandbook of Discrete and Combinatorial Mathematics provides a comprehensive reference volume for mathematicians, computer scientists, engineers, as well as students and reference librarians. The material is presented so that key information can be located and used quickly and easily. Each chapter includes a glossary. Individual topics are covered in sections and subsections within chapters, each of which is organized into clearly identifiable parts: definitions, facts, and examples. Examples are provided to illustrate some of the key definitions, facts, and algorithms. Some curious and entertaining facts and puzzles are also included. Readers will also find an extensive collection of biographies. This second edition is a major revision. It includes extensive additions and updates. Since the first edition appeared in 1999, many new discoveries have been made and new areas have grown in importance, which are covered in this edition.
Handbook of Discrete and Computational Geometry (Discrete Mathematics and Its Applications)
by Jacob E. Goodman Joseph O’Rourke Csaba D. TóthThe Handbook of Discrete and Computational Geometry is intended as a reference book fully accessible to nonspecialists as well as specialists, covering all major aspects of both fields.The book offers the most important results and methods in discrete and computational geometry to those who use them in their work, both in the academic world—as researchers in mathematics and computer science—and in the professional world—as practitioners in fields as diverse as operations research, molecular biology and robotics.Discrete geometry has contributed significantly to the growth of discrete mathematics in recent years. This has been fueled partly by the advent of powerful computers and by the recent explosion of activity in the relatively young field of computational geometry. This synthesis between discrete and computational geometry lies at the heart of this Handbook.A growing list of application fields includes combinatorial optimization, computer-aided design, computer graphics, crystallography, data analysis, error-correcting codes, geographic information systems, motion planning, operations research, pattern recognition, robotics, solid modeling, and tomography.
Handbook of Distance Education
by Michael Grahame MooreThe third edition of this award-winning Handbook continues the mission of its predecessors: to provide a comprehensive compendium of research in all aspects of distance education, arguably the most significant development in education over the past three decades. While the book deals with education that uses technology, the focus is on teaching and learning and how its management can be facilitated through technology. Key features include: Comprehensive coverage that includes all aspects of distance education, including design, instruction, management, policy, and a section on different audiences. Chapter authors frame their topic in terms of empirical research (past and present) and discuss the nature of current practice in terms of that research. Future research needs are discussed in relation to both confirmed practice and recent changes in the field. Section one provides a unique review of the theories that support distance education pedagogy. Section six includes a unique review of distance education as a component of global culture. This book will be of interest to anyone engaged in distance education at any level. It is also appropriate for corporate and government trainers and for administrators and policy makers in all these environments. Recipient of the 2013 IAP Distance Education Book Award
Handbook of Distance Education: Second Edition
by Michael Grahame MooreThe Handbook of Distance Education, 4th Edition is a comprehensive compendium of research in the field of distance education. The volume is divided into four sections covering the historical and theoretical foundations of distance education, attributes of teaching and learning using technology, management and administration, and different audiences and providers. Throughout, leading scholars address future research needs and directions based on current research, established practices, and recent changes to implementation, pedagogy, and policy.
Handbook of DNA Forensic Applications and Interpretation
by Amit Kumar G. K. Goswami Edwin HuffineThis handbook covers tested and proven DNA forensic testing methodologies, forensic bioinformatics techniques, case studies and current forensic legal framework for investigation of variety of crimes and provides a clinching evidence for speedy justice. DNA testing is widely used for forensic purposes and is changing the paradigm of (crime) investigation. The book contains chapters on usage of ultramodern DNA collection kits, presents era evidence collection and preservation, high-end DNA sample analysis in laboratory, DNA legislation, expert evidences, challenging and successful case studies, data generation and application of AI and IoT techniques for DNA data analysis, DNA databanks and training manpower to facilitate timely reporting to the requesting agencies. This handbook equips and enables police, investigators and crime analysis laboratories with knowhow of high-end tools, procedures and techniques to link or exclude a criminal to a crime. It is expected that this will be used by first responders, police, forensic analysts, judiciaries, evidence handlers and students and scholars of criminology and forensic sciences worldwide. The intention to write this handbook is to make DNA technology and its importance reach every common man and professional for correctly using it as a tool as and when required. This is quite evident that awareness of DNA technology has increased at a reasonable pace. Courts and investigating agencies are convinced and confident with its accuracy, reliability and unmatched peace delivered by various techniques of DNA fingerprinting and DNA profiling.
Handbook of Document Image Processing and Recognition
by David Doermann Karl TombreThe Handbook of Document Image Processing and Recognition is a comprehensive resource on the latest methods and techniques in document image processing and recognition. Each chapter provides a clear overview of the topic followed by the state of the art of techniques used - including elements of comparison between them - along with supporting references to archival publications, for those interested in delving deeper into topics addressed. Rather than favor a particular approach, the text enables the reader to make an informed decision for their specific problems.
Handbook of Dynamic Data Driven Applications Systems
by Erik Blasch Sai Ravela Alex AvedThe Handbook of Dynamic Data Driven Applications Systems establishes an authoritative reference of DDDAS, pioneered by Dr. Darema and the co-authors for researchers and practitioners developing DDDAS technologies.Beginning with general concepts and history of the paradigm, the text provides 32 chapters by leading experts in10 application areas to enable an accurate understanding, analysis, and control of complex systems; be they natural, engineered, or societal:Earth and Space Data AssimilationAircraft Systems ProcessingStructures Health MonitoringBiological Data AssessmentObject and Activity TrackingEmbedded Control and CoordinationEnergy-Aware OptimizationImage and Video ComputingSecurity and Policy CodingSystems Design The authors explain how DDDAS unifies the computational and instrumentation aspects of an application system, extends the notion of Smart Computing to span from the high-end to the real-time data acquisition and control, and manages Big Data exploitation with high-dimensional model coordination.
Handbook of Dynamic Data Driven Applications Systems: Volume 2
by Frederica Darema Erik P. Blasch Sai Ravela Alex J. AvedThis Second Volume in the series Handbook of Dynamic Data Driven Applications Systems (DDDAS) expands the scope of the methods and the application areas presented in the first Volume and aims to provide additional and extended content of the increasing set of science and engineering advances for new capabilities enabled through DDDAS. The methods and examples of breakthroughs presented in the book series capture the DDDAS paradigm and its scientific and technological impact and benefits. The DDDAS paradigm and the ensuing DDDAS-based frameworks for systems’ analysis and design have been shown to engender new and advanced capabilities for understanding, analysis, and management of engineered, natural, and societal systems (“applications systems”), and for the commensurate wide set of scientific and engineering fields and applications, as well as foundational areas. The DDDAS book series aims to be a reference source of many of the important research and development efforts conducted under the rubric of DDDAS, and to also inspire the broader communities of researchers and developers about the potential in their respective areas of interest, of the application and the exploitation of the DDDAS paradigm and the ensuing frameworks, through the examples and case studies presented, either within their own field or other fields of study. As in the first volume, the chapters in this book reflect research work conducted over the years starting in the 1990’s to the present. Here, the theory and application content are considered for:Foundational MethodsMaterials SystemsStructural SystemsEnergy SystemsEnvironmental Systems: Domain Assessment & Adverse Conditions/WildfiresSurveillance SystemsSpace Awareness SystemsHealthcare SystemsDecision Support SystemsCyber Security SystemsDesign of Computer Systems The readers of this book series will benefit from DDDAS theory advances such as object estimation, information fusion, and sensor management. The increased interest in Artificial Intelligence (AI), Machine Learning and Neural Networks (NN) provides opportunities for DDDAS-based methods to show the key role DDDAS plays in enabling AI capabilities; address challenges that ML-alone does not, and also show how ML in combination with DDDAS-based methods can deliver the advanced capabilities sought; likewise, infusion of DDDAS-like approaches in NN-methods strengthens such methods. Moreover, the “DDDAS-based Digital Twin” or “Dynamic Digital Twin”, goes beyond the traditional DT notion where the model and the physical system are viewed side-by-side in a static way, to a paradigm where the model dynamically interacts with the physical system through its instrumentation, (per the DDDAS feed-back control loop between model and instrumentation).
Handbook of Dynamic Data Driven Applications Systems: Volume 1
by Sai Ravela Alex J. Aved Erik P. Blasch Frederica DaremaThe Handbook of Dynamic Data Driven Applications Systems establishes an authoritative reference of DDDAS, pioneered by Dr. Darema and the co-authors for researchers and practitioners developing DDDAS technologies. Beginning with general concepts and history of the paradigm, the text provides 32 chapters by leading experts in ten application areas to enable an accurate understanding, analysis, and control of complex systems; be they natural, engineered, or societal: The authors explain how DDDAS unifies the computational and instrumentation aspects of an application system, extends the notion of Smart Computing to span from the high-end to the real-time data acquisition and control, and manages Big Data exploitation with high-dimensional model coordination. The Dynamically Data Driven Applications Systems (DDDAS) paradigm inspired research regarding the prediction of severe storms. Specifically, the DDDAS concept allows atmospheric observing systems, computer forecast models, and cyberinfrastructure to dynamically configure themselves in optimal ways in direct response to current or anticipated weather conditions. In so doing, all resources are used in an optimal manner to maximize the quality and timeliness of information they provide. Kelvin Droegemeier, Regents’ Professor of Meteorology at the University of Oklahoma; former Director of the White House Office of Science and Technology Policy We may well be entering the golden age of data science, as society in general has come to appreciate the possibilities for organizational strategies that harness massive streams of data. The challenges and opportunities are even greater when the data or the underlying system are dynamic - and DDDAS is the time-tested paradigm for realizing this potential. Sangtae Kim, Distinguished Professor of Mechanical Engineering and Distinguished Professor of Chemical Engineering at Purdue University
Handbook of Dynamic System Modeling
by Paul A. FishwickThe topic of dynamic models tends to be splintered across various disciplines, making it difficult to uniformly study the subject. Moreover, the models have a variety of representations, from traditional mathematical notations to diagrammatic and immersive depictions. Collecting all of these expressions of dynamic models, the Handbook of Dynamic Sy
Handbook of e-Business Security
by João Manuel Tavares Brojo Kishore Mishra Raghvendra Kumar Noor Zaman Manju KhariThere are a lot of e-business security concerns. Knowing about e-business security issues will likely help overcome them. Keep in mind, companies that have control over their e-business are likely to prosper most. In other words, setting up and maintaining a secure e-business is essential and important to business growth. This book covers state-of-the art practices in e-business security, including privacy, trust, security of transactions, big data, cloud computing, social network, and distributed systems.