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Morgan Kaufmann

    • Mobile User Experience

      • 1st Edition
      • September 3, 2013
      • Adrian Mendoza
      • English
      • Paperback
        9 7 8 0 1 2 4 0 9 5 1 4 4
      • eBook
        9 7 8 0 1 2 4 1 1 4 9 0 6
      This is your must-have resource to the theoretical and practical concepts of mobile UX. You’ll learn about the concepts and how to apply them in real-world scenarios. Throughout the book, the author provides you with 10 of the most commonly used archetypes in the UX arena to help illustrate what mobile UX is and how you can master it as quickly as possible. First, you’ll start off learning how to communicate mobile UX flows visually. From there, you’ll learn about applying and using 10 unique user experience patterns or archetypes for mobile. Finally, you’ll understand how to prototype and use these patterns to create websites and apps.Whether you’re a UX professional looking to master mobility or a designer looking to incorporate the best UX practices into your website, after reading this book, you’ll be better equipped to maneuver this emerging specialty.

    • Total Information Risk Management

      • 1st Edition
      • August 30, 2013
      • Alexander Borek + 3 more
      • English
      • Paperback
        9 7 8 0 1 2 4 0 5 5 4 7 6
      • eBook
        9 7 8 0 1 2 4 0 5 8 6 1 3
      How well does your organization manage the risks associated with information quality? Managing information risk is becoming a top priority on the organizational agenda. The increasing sophistication of IT capabilities along with the constantly changing dynamics of global competition are forcing businesses to make use of their information more effectively. Information is becoming a core resource and asset for all organizations; however, it also brings many potential risks to an organization, from strategic, operational, financial, compliance, and environmental to societal. If you continue to struggle to understand and measure how information and its quality affects your business, this book is for you. This reference is in direct response to the new challenges that all managers have to face. Our process helps your organization to understand the "pain points" regarding poor data and information quality so you can concentrate on problems that have a high impact on core business objectives. This book provides you with all the fundamental concepts, guidelines and tools to ensure core business information is identified, protected and used effectively, and written in a language that is clear and easy to understand for non-technical managers.

    • Big Data Analytics

      • 1st Edition
      • August 23, 2013
      • David Loshin
      • English
      • Paperback
        9 7 8 0 1 2 4 1 7 3 1 9 4
      • eBook
        9 7 8 0 1 2 4 1 8 6 6 4 4
      Big Data Analytics will assist managers in providing an overview of the drivers for introducing big data technology into the organization and for understanding the types of business problems best suited to big data analytics solutions, understanding the value drivers and benefits, strategic planning, developing a pilot, and eventually planning to integrate back into production within the enterprise.

    • Credible Checklists and Quality Questionnaires

      • 1st Edition
      • August 22, 2013
      • Chauncey Wilson
      • English
      • Paperback
        9 7 8 0 1 2 4 1 0 3 9 2 4
      • eBook
        9 7 8 0 1 2 4 1 0 4 4 9 5
      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
      • June 28, 2013
      • James Shackleford + 2 more
      • English
      • Paperback
        9 7 8 0 1 2 4 0 7 7 4 1 6
      • eBook
        9 7 8 0 1 2 4 0 7 8 8 0 2
      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

      • 1st Edition
      • June 21, 2013
      • Michael Beasley
      • English
      • Paperback
        9 7 8 0 1 2 4 0 4 6 1 9 1
      • eBook
        9 7 8 0 1 2 4 0 4 6 9 4 8
      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

      • 1st Edition
      • May 24, 2013
      • Everett N McKay
      • English
      • Paperback
        9 7 8 0 1 2 3 9 6 9 8 0 4
      • eBook
        9 7 8 0 1 2 3 9 7 2 8 7 3
      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

      • 1st Edition
      • May 24, 2013
      • Dan C. Marinescu
      • English
      • Paperback
        9 7 8 0 1 2 4 0 4 6 2 7 6
      • eBook
        9 7 8 0 1 2 4 0 4 6 4 1 2
      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

      • 2nd Edition
      • May 23, 2013
      • Bill Albert + 1 more
      • English
      • eBook
        9 7 8 0 1 2 4 1 5 7 9 2 7
      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

      • 1st Edition
      • May 20, 2013
      • Jules J. Berman
      • English
      • Paperback
        9 7 8 0 1 2 4 0 4 5 7 6 7
      • eBook
        9 7 8 0 1 2 4 0 4 7 2 4 2
      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.

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