Skip to main content
Elsevier

Morgan Kaufmann

  • Credible Checklists and Quality Questionnaires

    A User-Centered Design Method
    • 1st Edition
    • Chauncey Wilson
    • English
    Credible Checklists and Quality Questionnaires starts off with an examination of the critical but commonly overlooked checklist method. In the second chapter, questionnaires and surveys are discussed. Asking questions sounds simple, but the hard truth is that asking questions (and designing questionnaires) is a difficult task. This chapter discusses being mindful of the choice of words, order of questions and how early questions influence later questions, answer scales and how they impact the user response, questionnaire design, and much more. The final chapter provides examples of some common questionnaires (both free and fee-based) for assessing the usability of products. After reading this book, readers will be able to use these user design tools with greater confidence and certainty.

  • High Performance Deformable Image Registration Algorithms for Manycore Processors

    • 1st Edition
    • James Shackleford + 2 more
    • English
    High Performance Deformable Image Registration Algorithms for Manycore Processors develops highly data-parallel image registration algorithms suitable for use on modern multi-core architectures, including graphics processing units (GPUs). Focusing on deformable registration, we show how to develop data-parallel versions of the registration algorithm suitable for execution on the GPU. Image registration is the process of aligning two or more images into a common coordinate frame and is a fundamental step to be able to compare or fuse data obtained from different sensor measurements. Extracting useful information from 2D/3D data is essential to realizing key technologies underlying our daily lives. Examples include autonomous vehicles and humanoid robots that can recognize and manipulate objects in cluttered environments using stereo vision and laser sensing and medical imaging to localize and diagnose tumors in internal organs using data captured by CT/MRI scans.

  • Practical Web Analytics for User Experience

    How Analytics Can Help You Understand Your Users
    • 1st Edition
    • Michael Beasley
    • English
    Practical Web Analytics for User Experience teaches you how to use web analytics to help answer the complicated questions facing UX professionals. Within this book, you'll find a quantitative approach for measuring a website's effectiveness and the methods for posing and answering specific questions about how users navigate a website. The book is organized according to the concerns UX practitioners face. Chapters are devoted to traffic, clickpath, and content use analysis, measuring the effectiveness of design changes, including A/B testing, building user profiles based on search habits, supporting usability test findings with reporting, and more. This is the must-have resource you need to start capitalizing on web analytics and analyze websites effectively.

  • UI is Communication

    How to Design Intuitive, User Centered Interfaces by Focusing on Effective Communication
    • 1st Edition
    • Everett N McKay
    • English
    User interface design is a challenging, multi-disciplinary activity that requires understanding a wide range of concepts and techniques that are often subjective and even conflicting. Imagine how much it would help if there were a single perspective that you could use to simplify these complex issues down to a small set of objective principles. In UI is Communication, Everett McKay explains how to design intuitive user interfaces by focusing on effective human communication. A user interface is ultimately a conversation between users and technology. Well-designed user interfaces use the language of UI to communicate to users efficiently and naturally. They also recognize that there is an emotional human being at the other end of the interaction, so good user interfaces strive to make an emotional connection. Applying what you learn from UI is Communication will remove much of the mystic, subjectiveness, and complexity from user interface design, and help you make better design decisions with confidence. It’s the perfect introduction to user interface design.

  • Cloud Computing

    Theory and Practice
    • 1st Edition
    • Dan C. Marinescu
    • English
    Cloud Computing: Theory and Practice provides students and IT professionals with an in-depth analysis of the cloud from the ground up. Beginning with a discussion of parallel computing and architectures and distributed systems, the book turns to contemporary cloud infrastructures, how they are being deployed at leading companies such as Amazon, Google and Apple, and how they can be applied in fields such as healthcare, banking and science. The volume also examines how to successfully deploy a cloud application across the enterprise using virtualization, resource management and the right amount of networking support, including content delivery networks and storage area networks. Developers will find a complete introduction to application development provided on a variety of platforms.

  • Measuring the User Experience

    Collecting, Analyzing, and Presenting Usability Metrics
    • 2nd Edition
    • Bill Albert + 1 more
    • English
    Measuring the User Experience was the first book that focused on how to quantify the user experience. Now in the second edition, the authors include new material on how recent technologies have made it easier and more effective to collect a broader range of data about the user experience. As more UX and web professionals need to justify their design decisions with solid, reliable data, Measuring the User Experience provides the quantitative analysis training that these professionals need. The second edition presents new metrics such as emotional engagement, personas, keystroke analysis, and net promoter score. It also examines how new technologies coming from neuro-marketing and online market research can refine user experience measurement, helping usability and user experience practitioners make business cases to stakeholders. The book also contains new research and updated examples, including tips on writing online survey questions, six new case studies, and examples using the most recent version of Excel.

  • Principles of Big Data

    Preparing, Sharing, and Analyzing Complex Information
    • 1st Edition
    • Jules J. Berman
    • English
    Principles of Big Data helps readers avoid the common mistakes that endanger all Big Data projects. By stressing simple, fundamental concepts, this book teaches readers how to organize large volumes of complex data, and how to achieve data permanence when the content of the data is constantly changing. General methods for data verification and validation, as specifically applied to Big Data resources, are stressed throughout the book. The book demonstrates how adept analysts can find relationships among data objects held in disparate Big Data resources, when the data objects are endowed with semantic support (i.e., organized in classes of uniquely identified data objects). Readers will learn how their data can be integrated with data from other resources, and how the data extracted from Big Data resources can be used for purposes beyond those imagined by the data creators.

  • Implementing Analytics

    A Blueprint for Design, Development, and Adoption
    • 1st Edition
    • Nauman Sheikh
    • English
    Implementing Analytics demystifies the concept, technology and application of analytics and breaks its implementation down to repeatable and manageable steps, making it possible for widespread adoption across all functions of an organization. Implementing Analytics simplifies and helps democratize a very specialized discipline to foster business efficiency and innovation without investing in multi-million dollar technology and manpower. A technology agnostic methodology that breaks down complex tasks like model design and tuning and emphasizes business decisions rather than the technology behind analytics.

  • Data Warehousing in the Age of Big Data

    • 1st Edition
    • Krish Krishnan
    • English
    Data Warehousing in the Age of the Big Data will help you and your organization make the most of unstructured data with your existing data warehouse. As Big Data continues to revolutionize how we use data, it doesn't have to create more confusion. Expert author Krish Krishnan helps you make sense of how Big Data fits into the world of data warehousing in clear and concise detail. The book is presented in three distinct parts. Part 1 discusses Big Data, its technologies and use cases from early adopters. Part 2 addresses data warehousing, its shortcomings, and new architecture options, workloads, and integration techniques for Big Data and the data warehouse. Part 3 deals with data governance, data visualization, information life-cycle management, data scientists, and implementing a Big Data–ready data warehouse. Extensive appendixes include case studies from vendor implementations and a special segment on how we can build a healthcare information factory. Ultimately, this book will help you navigate through the complex layers of Big Data and data warehousing while providing you information on how to effectively think about using all these technologies and the architectures to design the next-generation data warehouse.

  • Software Engineering

    Architecture-driven Software Development
    • 1st Edition
    • Richard F Schmidt
    • English
    Software Engineering: Architecture-driven Software Development is the first comprehensive guide to the underlying skills embodied in the IEEE's Software Engineering Body of Knowledge (SWEBOK) standard. Standards expert Richard Schmidt explains the traditional software engineering practices recognized for developing projects for government or corporate systems. Software engineering education often lacks standardization, with many institutions focusing on implementation rather than design as it impacts product architecture. Many graduates join the workforce with incomplete skills, leading to software projects that either fail outright or run woefully over budget and behind schedule. Additionally, software engineers need to understand system engineering and architecture—the hardware and peripherals their programs will run on. This issue will only grow in importance as more programs leverage parallel computing, requiring an understanding of the parallel capabilities of processors and hardware. This book gives both software developers and system engineers key insights into how their skillsets support and complement each other. With a focus on these key knowledge areas, Software Engineering offers a set of best practices that can be applied to any industry or domain involved in developing software products.

Browse by Publisher