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Big Data Recommender Systems ; Vol.1 : Algorithms, Architectures, Big Data, Security and Trust
Combines experimental and theoretical research on big data recommender systems to help computer scientists develop new concepts and methodologies for complex applications. It includes original scientific contributions in the form of theoretical foundations, comparative analysis, surveys, case studies, techniques and tools.
Big data analytics and machine intelligence in biomedical and health informatics : Concepts, methodologies, tools and applications
Provides coverage of developments and state-of-the-art methods in the broad and diversified data analytics field and applicable areas such as big data analytics, data mining, and machine intelligence in biomedical and health informatics. Covers the latest advances and developments in health informatics, data mining, machine learning, and artificial intelligence. They have been organized with respect to the similarity of topics addressed, ranging from issues pertaining to the Internet of Things (IoT) for biomedical engineering and health informatics, computational intelligence for medical data processing, and Internet of Medical Things??(IoMT).
Big Data : Conceptual Analysis and Applications
The book is devoted to the analysis of big data in order to extract from these data hidden patterns necessary for making decisions about the rational behavior of complex systems with the different nature that generate this data. To solve these problems, a group of new methods and tools is used, based on the self-organization of computational processes, the use of crisp and fuzzy cluster analysis methods, hybrid neural-fuzzy networks, and others. The book solves various practical problems. In particular, for the tasks of 3D image recognition and automatic speech recognition large-scale neural networks with applications for Deep Learning systems were used.
Bidding Strategies in Agent-Based Continuous Double Auctions
Presents a new bidding strategy for agents to adopt in CDAs and propose tools to enhance the performance of existing bidding strategies in CDAs. The superior performance of the new bidding strategy as well as the tools presented in this book are illustrated through extensive experiments.
Biased technical change and economic conservation laws
Makes use of Lie groups to shed new light on the analysis of economic conservation laws. Economic conservation laws are not simply abstract concepts; this book shows that they are tools of empirical analysis that can be applied to such topics as analyses of macro performance and corporate efficiency.
Best diagnostic tools and supportive medication for cancer patients
Cancer is still a lethal disease despite the development of new effective therapies; therefore the purpose of our study was to improve the patient's outcome by looking for the best diagnostic tools, secondly to improve radiotherapy resistance since about 50% of all cancer patients are treated with it. The fir st par t of our study will be per formed in Alkhatib center and the selection of that hospital was upon its highly sensitive diagnostic tools, in which PET/ CT scan was playing a major role to improve survival as shown in few repor ts in our study, and it’s the only safe diagnostic tool for a per son who has a metal fragments after injury in the war which increased the number of such patients in our country dur ing the last decade. This diagnostic tool is based on FDGin which we can define the tumor by using sugar more than normal tissue.
Behavioural research for marketing : A practitioner's handbook
Provides market researchers and marketeers with the tools to better understand human behaviour by drawing upon social science theory from different schools of thought, including sociology, psychology and behavioural economics. It has practical examples throughout to help illustrate how to operationalise theory in market research and to underpin the way we understand how people think, behave, decide and make choices.
Beginning Visual C# 2005 Express ed. : From novice to professional
Wright took the same approach with this book that he did with the VB titles, and inside you'll find a fast–paced guide to the essentials to get you programming fast. You'll learn the C# language and the tools Visual C# 2005 Express provides. He covers everything from simple console programs to code that talks to the Internet, and even how to write your own database programs. Whatever your reasons for wanting to learn to program with C#, this book will get you where you want to be quickly, and hopefully with a smile on your face. So dive in and change the way you use computers forever.
Beginning SQL Server 2005 Express database applications with Visual Basic Express and Visual Web Developer Express : From novice to professional
SQL Server 2005 Express is the database component of Microsoft's Express Suite of products. It is free of charge, inherits many (non-enterprise) features from SQL Server 2005, and comes complete with development and administration tools. As such, it is an ideal database for developers and administrators to use in prototype/evaluation projects. It is also a powerful development platform for database applications on nonprofit websites, e-commerce sites, and in small offices and departments.
Beginning POJOs : Lightweight Java Web development using Plain Old Java Objects in Spring, Hibernate, and Tapestry
Beginning POJOs introduces you to open source lightweight web development using Plain Old Java Objects (POJOs) and the tools and frameworks that enable this. Tier by tier, this book guides you through the construction of complex but lightweight enterprise Java-based web applications. Such applications are centered around several major open source lightweight frameworks, including Spring, Hibernate, Tapestry, and JBoss (including the new lightweight JBoss Seam). This book is ideal if you're new to open source and lightweight Java. You'll learn how to build a complete enterprise Java-based web application from scratch, and how to integrate the different open source frameworks to achieve this goal.
Beginning jOOQ : Learn to Write Efficient and Effective Java-Based SQL Database Operations
Learn to use the jOOQ library to manage SQL database operations in Java and JVM applications. This book walks you through what JOOQ is, how to install and get started with it, and then gets you working with it. You will: Comparing equivalent features between Hibernate, JPA and jOOQ. Unlock the power of your SQL database with high performing, flexible and typesafe SQL queries. Seamlessly work with many different SQL database vendors without changing your code. Effortlessly generate Java code based on the content of your database. Write reactive SQL database access code with R2DBC. Integrating jOOQ into popular frameworks and platforms like Hibernate, Spring boot and Quarkus tools like IDEs. Testing jOOQ-based code with modern integration testing frameworks like TestContainers and Docker. Learn how to safely handle data access code within frameworks like the Java Persistence API (JPA)
Beginning Java EE 5 : From novice to professional
Sun's new lightweight Java Enterprise Edition (EE) 5 is an extremely powerful platform for developing enterprise-level Java-based applications, primarily for the server. This book shows you how to harness that power, examining how the pieces of the new Java EE 5 platform fit together, including the redesigned annotations-driven EJB 3 spec as well as JavaServer Faces (JSF), integrated into the platform for the first time. Hands-on tutorials are also included, along with clear explanations and working code examples. You will grow to take the next step—from writing client-side desktop applications to writing enterprise applications. You will also learn how to use the individual APIs and tools in the Java EE 5 platform, and how to merge these to create your own enterprise applications.
Beginning Java Data Structures and Algorithms : Sharpen your problem solving skills by learning core computer science concepts in a pain-free manner
Teaches you tools that you can use to build efficient applications. It starts with an introduction to algorithms and big O notation, later explains bubble, merge, quicksort, and other popular programming patterns. You’ll also learn about data structures such as binary trees, hash tables, and graphs. The book progresses to advanced concepts, such as algorithm design paradigms and graph theory. By the end of the book, you will know how to correctly implement common algorithms and data structures within your applications.
Beginning IntelliJ IDEA : Integrated development environment for Java programming
Shows you how to leverage IntelliJ’s tools to develop clean, efficient Java applications. The last portion of the book focuses on application testing and deployment, and language- and framework- specific guidelines. After reading this book and working through its freely available source code, you'll be up to speed with this powerful IDE for today's Java development. You will: Use IntelliJ IDEA to build Java applications / Set up your IDE and project / Work with source code / Extend your Java application to data science and other kinds of applications / Test and deploy your application and much more
Beginning Excel What-If Data Analysis tools : Getting started with goal seek, data tables, scenarios, and solver
Excels what-if data analysis tools let you experiment with your data to project future results. In turn, these predictions will lead to better decision making and unlock the mystery of many business analysis scenarios. For example, what-if data analysis tools will enable you to forecast how lowering the price per unitwhile increasing projected unit salesmight affect your profit margins. Beginning Excel What-If Data Analysis Tools explores the use of Goal Seek, Data Tables, Scenarios, and Solver to help you get insight on your data. This book is focused and to the point, and it provides tutorial treatment of what-if tools in a practical, hands-on manner.
Beam Instrumentation and Diagnostics
This treatise covers all aspects of the design and the daily operations of a beam diagnostic system for a large particle accelerator. A very interdisciplinary field, it involves contributions from physicists, electrical and mechanical engineers and computer experts alike so as to satisfy the ever-increasing demands for beam parameter variability for a vast range of operation modi and particles. The author draws upon 40 years of research and work, most of them spent as the head of the beam diagnostics group at GSI. He has illustrated the more theoretical aspects with many real-life examples that will provide beam instrumentation designers with ideas and tools for their work.
Bayesian reliability
Bayesian Reliability presents modern methods and techniques for analyzing reliability data from a Bayesian perspective. The adoption and application of Bayesian methods in virtually all branches of science and engineering have significantly increased over the past few decades. This increase is largely due to advances in simulation-based computational tools for implementing Bayesian methods. The authors extensively use such tools throughout this book, focusing on assessing the reliability of components and systems with particular attention to hierarchical models and models incorporating explanatory variables. Such models include failure time regression models, accelerated testing models, and degradation models. The authors pay special attention to Bayesian goodness-of-fit testing, model validation, reliability test design, and assurance test planning. Throughout the book, the authors use Markov chain Monte Carlo (MCMC) algorithms for implementing Bayesian analyses--algorithms that make the Bayesian approach to reliability computationally feasible and conceptually straightforward.
Bayesian Networks and Decision Graphs
Probabilistic graphical models and decision graphs are powerful modeling tools for reasoning and decision making under uncertainty. As modeling languages they allow a natural specification of problem domains with inherent uncertainty, and from a computational perspective they support efficient algorithms for automatic construction and query answering. This includes belief updating, finding the most probable explanation for the observed evidence, detecting conflicts in the evidence entered into the network, determining optimal strategies, analyzing for relevance, and performing sensitivity analysis. The book introduces probabilistic graphical models and decision graphs, including Bayesian networks and influence diagrams.It contians two parts. The first part focuses on probabilistic graphical models. Compared with the previous book, the new edition also includes a thorough description of recent extensions to the Bayesian network modeling language, advances in exact and approximate belief updating algorithms, and methods for learning both the structure and the parameters of a Bayesian network. The second part deals with decision graphs, and in addition to the frameworks described in the previous edition, it also introduces Markov decision processes and partially ordered decision problems.
Bathrooms and sanitation : Principles, design, implementation = Detail practice
Provides comprehensive information on the basic principles of contemporary sanitary planning, as well as detailed solutions for state of the art execution and fitting. A selection of successfully completed projects offers readers inspiration for their own work. Comprehensive design principles and planning tools. Examples of successful projects. Sanitary areas as a sign of quality when evaluating buildings. Renovation, modernisation and accessibility. Fittings, materials and lighting design
Basic Real Analysis
Basic Real Analysis and Advanced Real Analysis (available separately or together as a Set) systematically develop those concepts and tools in real analysis that are vital to every mathematician, whether pure or applied, aspiring or established. These works present a comprehensive treatment with a global view of the subject, emphasizing the connections between real analysis and other branches of mathematics.
