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Handbook of Cloud Computing

by Borko Furht Armando Escalante

Cloud computing has become a significant technology trend. Experts believe cloud computing is currently reshaping information technology and the IT marketplace. The advantages of using cloud computing include cost savings, speed to market, access to greater computing resources, high availability, and scalability. Handbook of Cloud Computing includes contributions from world experts in the field of cloud computing from academia, research laboratories and private industry. This book presents the systems, tools, and services of the leading providers of cloud computing; including Google, Yahoo, Amazon, IBM, and Microsoft. The basic concepts of cloud computing and cloud computing applications are also introduced. Current and future technologies applied in cloud computing are also discussed. Case studies, examples, and exercises are provided throughout. Handbook of Cloud Computing is intended for advanced-level students and researchers in computer science and electrical engineering as a reference book. This handbook is also beneficial to computer and system infrastructure designers, developers, business managers, entrepreneurs and investors within the cloud computing related industry.

Handbook of Cluster Analysis (Chapman & Hall/CRC Handbooks of Modern Statistical Methods)

by Christian Hennig Marina Meila Fionn Murtagh Roberto Rocci

Handbook of Cluster Analysis provides a comprehensive and unified account of the main research developments in cluster analysis. Written by active, distinguished researchers in this area, the book helps readers make informed choices of the most suitable clustering approach for their problem and make better use of existing cluster analysis tools.The

Handbook of Cognitive and Autonomous Systems for Fire Resilient Infrastructures

by Mz Naser Glenn Corbett

This handbook aims at modernizing the current state of civil engineering and firefighting, especially in this era where infrastructures are reaching new heights, serving diverse populations, and being challenged by unique threats. Its aim is to set the stage toward realizing contemporary, smart, and resilient infrastructure.The Handbook of Cognitive and Autonomous Systems for Fire Resilient Infrastructures draws convergence between civil engineering and firefighting to the modern realm of interdisciplinary sciences (i.e., artificial intelligence, IoT, robotics, sensing, and human psychology). As such, this work aims to revolutionize the current philosophy of design for one of the most notorious extreme events: fire. Unlike other publications, which are narrowed to one specific research area, this handbook cultivates a paradigm in which critical aspects of structural design, technology, and human behavior are studied and examined through chapters written by leaders in their fields. This handbook can also serve as a textbook for graduate and senior undergraduate students in Civil, Mechanical, and Fire Protection engineering programs as well as for students in Architectural and social science disciplines. Students, engineers, academics, professionals, scientists, firefighters, and government officials involved in national and international societies such as the American Society of Civil Engineers (ASCE), Society of Fire Protection Engineers (SFPE), National Fire Protection Association (NFPA), and Institute of Electrical and Electronics Engineers (IEEE), among others, will benefit from this handbook.

Handbook of Combinatorial Designs (Discrete Mathematics and Its Applications)

by Charles J. Colbourn Jeffrey H. Dinitz

Continuing in the bestselling, informative tradition of the first edition, the Handbook of Combinatorial Designs, Second Edition remains the only resource to contain all of the most important results and tables in the field of combinatorial design. This handbook covers the constructions, properties, and applications of designs as well as existence

Handbook of Communications Systems Management: 1999 Edition

by Gilbert Held

As a manager of the �90s, you know that IT departments like your own must continue to meet increasingly sophisticated end-user needs despite highly limited resources. Learn when it�s best to farm out work to consultants, when to reserve internal resources for other tasks, and how best to use your in-house staff. Coverage unlike any other in the marketplace. Written by 41 experts � all practitioners in the networking and IS management fields � this guidebook provides unique depth and scope. In this Third Edition, you�ll find all new material that clearly outlines today�s hottest issues. Prepares you to quickly respond to management requirements. Are you aware of the latest on strategic planning, systems planning, and points-of-failure planning? Have you linked your IT architecture and business plans? Have you updated senior management as to how IT can help achieve corporate goals? Do you have a corporate technology plan? Turn to the Handbook for all this and more. Now you can get up to speed on the latest in client/server, on how to give your end users faster and greater access to corporate data at a lower cost, and on how to quantify the amount of network support that this improvement will require? The Handbook was written with you in mind. The perfect resource for today�s successful communications systems manager. This comprehensive, highly authoritative reference is designed to help you select, maintain, and manage your communications systems. It provides all the tools you need to evaluate, formulate, and implement effective communications network strategies to keep pace with today�s rapidly changing technology. You get illustrations, tables, and diagrams to clearly outline and guide you the entire way. Be aware of the latest technologies and their impact on you. Keep costs down by aiding your thinking through all the systems and network elements from concept through implementation and day-to-day operation.

Handbook of Computational Approaches to Counterterrorism

by V. S. Subrahmanian

Terrorist groups throughout the world have been studied primarily through the use of social science methods. However, major advances in IT during the past decade have led to significant new ways of studying terrorist groups, making forecasts, learning models of their behaviour, and shaping policies about their behaviour. Handbook of Computational Approaches to Counterterrorism provides the first in-depth look at how advanced mathematics and modern computing technology is shaping the study of terrorist groups. This book includes contributions from world experts in the field, and presents extensive information on terrorism data sets, new ways of building such data sets in real-time using text analytics, introduces the mathematics and computational approaches to understand terror group behaviour, analyzes terror networks, forecasts terror group behaviour, and shapes policies against terrorist groups. Auxiliary information will be posted on the book's website. This book targets defence analysts, counter terror analysts, computer scientists, mathematicians, political scientists, psychologists, and researchers from the wide variety of fields engaged in counter-terrorism research. Advanced-level students in computer science, mathematics and social sciences will also find this book useful.

Handbook of Computational Molecular Biology (Chapman & Hall/CRC Computer and Information Science Series)

by Srinivas Aluru

The enormous complexity of biological systems at the molecular level must be answered with powerful computational methods. Computational biology is a young field, but has seen rapid growth and advancement over the past few decades. Surveying the progress made in this multidisciplinary field, the Handbook of Computational Molecular Biology of

Handbook of Computational Neurodegeneration

by Panagiotis Vlamos Ilias S. Kotsireas Ioannis Tarnanas

The Handbook of Computational Neurodegeneration provides a comprehensive overview of the field and thus bridges the gap between standard textbooks of research on neurodegeneration and dispersed publications for specialists that have a narrowed focus on computational methods to study this complicated process. The handbook reviews the central issues and methodological approaches related to the field for which the reader pursues a thorough overview. It also conveys more advanced knowledge, thus serving both as an introductory text and as a starting point for an in-depth study of a specific area, as well as a quick reference source for the expert by reflecting the state of the art and future prospects. The book includes topics that are usually missing in standard textbooks and that are only marginally represented in the specific literature. The broad scope of this handbook is reflected by five major parts that facilitate an integration of computational concepts, methods and applications in the study of neurodegeneration. Each part is intended to stand on its own, giving an overview of the topic and the most important problems and approaches, which are supported by examples, practical applications, and proposed methodologies. The basic concepts and knowledge, standard procedures and methods are presented, as well as recent advances and new perspectives.

Handbook of Computational Sciences: A Multi and Interdisciplinary Approach

by Ahmed A. Elgnar Vigneshwar M Krishna Kant Singh Zdzislaw Polkowski

The Handbook of Computational Sciences is a comprehensive collection of research chapters that brings together the latest advances and trends in computational sciences and addresses the interdisciplinary nature of computational sciences, which require expertise from multiple disciplines to solve complex problems. This edited volume covers a broad range of topics, including computational physics, chemistry, biology, engineering, finance, and social sciences. Each chapter provides an in-depth discussion of the state-of-the-art techniques and methodologies used in the respective field. The book also highlights the challenges and opportunities for future research in these areas. The volume pertains to applications in the areas of imaging, medical imaging, wireless and WS networks, IoT with applied areas, big data for various applicable solutions, etc. This text delves deeply into the core subject and then broadens to encompass the interlinking, interdisciplinary, and cross-disciplinary sections of other relevant areas. Those areas include applied, simulation, modeling, real-time, research applications, and more. Audience Because of the book’s multidisciplinary approach, it will be of value to many researchers and engineers in different fields including computational biologists, computational chemists, and physicists, as well as those in life sciences, neuroscience, mathematics, and software engineering.

Handbook of Computational Social Science, Volume 1: Theory, Case Studies and Ethics (European Association of Methodology Series)

by Lars Lyberg Uwe Engel Anabel Quan-Haase Sunny Xun Liu

The Handbook of Computational Social Science is a comprehensive reference source for scholars across multiple disciplines. It outlines key debates in the field, showcasing novel statistical modeling and machine learning methods, and draws from specific case studies to demonstrate the opportunities and challenges in CSS approaches. The Handbook is divided into two volumes written by outstanding, internationally renowned scholars in the field. This first volume focuses on the scope of computational social science, ethics, and case studies. It covers a range of key issues, including open science, formal modeling, and the social and behavioral sciences. This volume explores major debates, introduces digital trace data, reviews the changing survey landscape, and presents novel examples of computational social science research on sensing social interaction, social robots, bots, sentiment, manipulation, and extremism in social media. The volume not only makes major contributions to the consolidation of this growing research field but also encourages growth in new directions. With its broad coverage of perspectives (theoretical, methodological, computational), international scope, and interdisciplinary approach, this important resource is integral reading for advanced undergraduates, postgraduates, and researchers engaging with computational methods across the social sciences, as well as those within the scientifi c and engineering sectors.

Handbook of Computational Social Science, Volume 2: Data Science, Statistical Modelling, and Machine Learning Methods (European Association of Methodology Series)

by Lars Lyberg Uwe Engel Anabel Quan-Haase Sunny Xun Liu

The Handbook of Computational Social Science is a comprehensive reference source for scholars across multiple disciplines. It outlines key debates in the field, showcasing novel statistical modeling and machine learning methods, and draws from specific case studies to demonstrate the opportunities and challenges in CSS approaches. The Handbook is divided into two volumes written by outstanding, internationally renowned scholars in the field. This second volume focuses on foundations and advances in data science, statistical modeling, and machine learning. It covers a range of key issues, including the management of big data in terms of record linkage, streaming, and missing data. Machine learning, agent-based and statistical modeling, as well as data quality in relation to digital trace and textual data, as well as probability, non-probability, and crowdsourced samples represent further foci. The volume not only makes major contributions to the consolidation of this growing research field, but also encourages growth into new directions. With its broad coverage of perspectives (theoretical, methodological, computational), international scope, and interdisciplinary approach, this important resource is integral reading for advanced undergraduates, postgraduates, and researchers engaging with computational methods across the social sciences, as well as those within the scientific and engineering sectors.

Handbook of Computational Statistics

by James E. Gentle Wolfgang Karl Härdle Yuichi Mori

The Handbook of Computational Statistics - Concepts and Methods (second edition) is a revision of the first edition published in 2004, and contains additional comments and updated information on the existing chapters, as well as three new chapters addressing recent work in the field of computational statistics. This new edition is divided into 4 parts in the same way as the first edition. It begins with "How Computational Statistics became the backbone of modern data science" (Ch.1): an overview of the field of Computational Statistics, how it emerged as a separate discipline, and how its own development mirrored that of hardware and software, including a discussion of current active research. The second part (Chs. 2 - 15) presents several topics in the supporting field of statistical computing. Emphasis is placed on the need for fast and accurate numerical algorithms, and some of the basic methodologies for transformation, database handling, high-dimensional data and graphics treatment are discussed. The third part (Chs. 16 - 33) focuses on statistical methodology. Special attention is given to smoothing, iterative procedures, simulation and visualization of multivariate data. Lastly, a set of selected applications (Chs. 34 - 38) like Bioinformatics, Medical Imaging, Finance, Econometrics and Network Intrusion Detection highlight the usefulness of computational statistics in real-world applications.

Handbook of Computer Architecture

by Anupam Chattopadhyay

This handbook presents the key topics in the area of computer architecture covering from the basic to the most advanced topics, including software and hardware design methodologies. It will provide readers with the most comprehensive updated reference information covering applications in single core processors, multicore processors, application-specific processors, reconfigurable architectures, emerging computing architectures, processor design and programming flows, test and verification. This information benefits the readers as a full and quick technical reference with a high-level review of computer architecture technology, detailed technical descriptions and the latest practical applications.

Handbook of Computer Networks and Cyber Security: Principles and Paradigms

by Gregorio Martinez Perez Deepak Gupta Brij B. Gupta Dharma P. Agrawal

This handbook introduces the basic principles and fundamentals of cyber security towards establishing an understanding of how to protect computers from hackers and adversaries. The highly informative subject matter of this handbook, includes various concepts, models, and terminologies along with examples and illustrations to demonstrate substantial technical details of the field. It motivates the readers to exercise better protection and defense mechanisms to deal with attackers and mitigate the situation. This handbook also outlines some of the exciting areas of future research where the existing approaches can be implemented.Exponential increase in the use of computers as a means of storing and retrieving security-intensive information, requires placement of adequate security measures to safeguard the entire computing and communication scenario. With the advent of Internet and its underlying technologies, information security aspects are becoming a prime concern towards protecting the networks and the cyber ecosystem from variety of threats, which is illustrated in this handbook.This handbook primarily targets professionals in security, privacy and trust to use and improve the reliability of businesses in a distributed manner, as well as computer scientists and software developers, who are seeking to carry out research and develop software in information and cyber security. Researchers and advanced-level students in computer science will also benefit from this reference.

Handbook of Computer Programming with Python

by Dimitrios Xanthidis

This handbook provides a hands-on experience based on the underlying topics, and assists students and faculty members in developing their algorithmic thought process and programs for given computational problems. It can also be used by professionals who possess the necessary theoretical and computational thinking background but are presently making their transition to Python. Key Features: • Discusses concepts such as basic programming principles, OOP principles, database programming, GUI programming, application development, data analytics and visualization, statistical analysis, virtual reality, data structures and algorithms, machine learning, and deep learning. • Provides the code and the output for all the concepts discussed. • Includes a case study at the end of each chapter. This handbook will benefit students of computer science, information systems, and information technology, or anyone who is involved in computer programming (entry-to-intermediate level), data analytics, HCI-GUI, and related disciplines.

Handbook of Computer Vision Algorithms in Image Algebra

by Joseph N. Wilson Gerhard X. Ritter

Image algebra is a comprehensive, unifying theory of image transformations, image analysis, and image understanding. In 1996, the bestselling first edition of the Handbook of Computer Vision Algorithms in Image Algebra introduced engineers, scientists, and students to this powerful tool, its basic concepts, and its use in the concise representation

Handbook of Conceptual Modeling

by Bernhard Thalheim David W. Embley

The Handbook of Conceptual Modeling collects many of the best conceptual-modeling ideas, techniques, and practices as well as the challenges that drive research in the field. It points toward interesting challenges.

Handbook of Consumer Behavior, Tourism, and the Internet

by Juline Mills Rob Law

Make the most of your online business resources The growing acceptance and use of the Internet as an increasingly valuable travel tool has tourism and hospitality businesses taking a critical look at their business-to-customer online environments while pondering such questions as, "How do I get people to visit my Web site?" "Is my Web site attracting the &’right&’ kind of e-consumers?" and "How do I turn browsers into buyers?" The Handbook of Consumer Behavior, Tourism, and the Internet analyzes the latest strategies involving Internet business applications that will help you attract-and keep-online travel customers. Researchers from the United States, Europe, and Asia present the latest findings you need to make the right decisions regarding long-term e-commerce development and planning.The Handbook of Consumer Behavior, Tourism, and the Internet examines vital issues affecting the travel and tourism industry from an online perspective. This book analyzes the latest theory and research on general online buyer characteristics, the differences between online and offline consumer behavior, the differences between broadband and narrowband users, the online search process, quality and perception of lodging brands, and Web site design, maintenance, and development. Each section of the book includes a model/diagram that serves as an overview of the topic, followed by a thorough discussion on the topic from several sources. Each section ends with commentary on the areas where future research is needed. The book&’s contributors use a variety of research methodologies ranging from qualitative data analyses using artificial neutral network analysis, to experimental design, non-parametric statistical tests, and structural equation modeling. Topics examined in the Handbook of Consumer Behavior, Tourism, and the Internet include: the need for businesses to use internal examinations to determine and meet online consumer needs the emerging field of e-complaint behavior-consumers taking to the Web to voice complaints about travel services how to use e-tools to measure guest satisfaction how to measure consumer reaction to Web-based technology the Internet&’s impact on decision making for travel products and how to use e-mail marketing, electronic customer relationship management (eCRM), Web positioning, and search engine placementThe Handbook of Consumer Behavior, Tourism, and the Internet is equally valuable as a classroom resource or professional reference, providing up-to-date material on Internet applications and their impact on consumers and e-commerce.

Handbook of Convex Optimization Methods in Imaging Science

by Vishal Monga

This book covers recent advances in image processing and imaging sciences from an optimization viewpoint, especially convex optimization with the goal of designing tractable algorithms. Throughout the handbook, the authors introduce topics on the most key aspects of image acquisition and processing that are based on the formulation and solution of novel optimization problems. The first part includes a review of the mathematical methods and foundations required, and covers topics in image quality optimization and assessment. The second part of the book discusses concepts in image formation and capture from color imaging to radar and multispectral imaging. The third part focuses on sparsity constrained optimization in image processing and vision and includes inverse problems such as image restoration and de-noising, image classification and recognition and learning-based problems pertinent to image understanding. Throughout, convex optimization techniques are shown to be a critically important mathematical tool for imaging science problems and applied extensively. Convex Optimization Methods in Imaging Science is the first book of its kind and will appeal to undergraduate and graduate students, industrial researchers and engineers and those generally interested in computational aspects of modern, real-world imaging and image processing problems.

Handbook of Data Intensive Computing

by Armando Escalante Borko Furht

Data Intensive Computing refers to capturing, managing, analyzing, and understanding data at volumes and rates that push the frontiers of current technologies. The challenge of data intensive computing is to provide the hardware architectures and related software systems and techniques which are capable of transforming ultra-large data into valuable knowledge. Handbook of Data Intensive Computing is written by leading international experts in the field. Experts from academia, research laboratories and private industry address both theory and application. Data intensive computing demands a fundamentally different set of principles than mainstream computing. Data-intensive applications typically are well suited for large-scale parallelism over the data and also require an extremely high degree of fault-tolerance, reliability, and availability. Real-world examples are provided throughout the book. Handbook of Data Intensive Computing is designed as a reference for practitioners and researchers, including programmers, computer and system infrastructure designers, and developers. This book can also be beneficial for business managers, entrepreneurs, and investors.

Handbook of Data Management: 1999 Edition

by Sanjiv Purba

Packed 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 Purba

Written 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 Sadiq

The 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 Sahni

The 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 Bucholtz

One 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

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