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Books in Data general

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Big Data

  • 1st Edition
  • June 3, 2016
  • Rajkumar Buyya + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 0 5 3 9 4 - 2
  • eBook
    9 7 8 - 0 - 1 2 - 8 0 9 3 4 6 - 7
Big Data: Principles and Paradigms captures the state-of-the-art research on the architectural aspects, technologies, and applications of Big Data. The book identifies potential future directions and technologies that facilitate insight into numerous scientific, business, and consumer applications. To help realize Big Data’s full potential, the book addresses numerous challenges, offering the conceptual and technological solutions for tackling them. These challenges include life-cycle data management, large-scale storage, flexible processing infrastructure, data modeling, scalable machine learning, data analysis algorithms, sampling techniques, and privacy and ethical issues.

The Art and Science of Analyzing Software Data

  • 1st Edition
  • August 27, 2015
  • Christian Bird + 2 more
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 4 1 1 5 1 9 - 4
  • eBook
    9 7 8 - 0 - 1 2 - 4 1 1 5 4 3 - 9
The Art and Science of Analyzing Software Data provides valuable information on analysis techniques often used to derive insight from software data. This book shares best practices in the field generated by leading data scientists, collected from their experience training software engineering students and practitioners to master data science. The book covers topics such as the analysis of security data, code reviews, app stores, log files, and user telemetry, among others. It covers a wide variety of techniques such as co-change analysis, text analysis, topic analysis, and concept analysis, as well as advanced topics such as release planning and generation of source code comments. It includes stories from the trenches from expert data scientists illustrating how to apply data analysis in industry and open source, present results to stakeholders, and drive decisions.

How Nursing has Changed with Technology, An Issue of Nursing Clinics

  • 1st Edition
  • Volume 50-2
  • June 2, 2015
  • Maria Overstreet
  • English
  • Hardback
    9 7 8 - 0 - 3 2 3 - 3 8 8 9 6 - 2
  • eBook
    9 7 8 - 0 - 3 2 3 - 3 8 8 9 7 - 9
How has technology changed the art and science of nursing practice?Many facets of nursing practice have stayed constant over the years such as the way we advocate for our patients and the art of caring for our patients. However, nursing practice has evolved over the years especially in the bedside delivery of state of the art nursing care. Technology at the bedside has forced nurse educators to change the ways in which we always have taught nursing students. Technology has also begun to change the methods used in the actual bedside nursing care. In this issue, you will hear from some of the nursing experts in areas of nursing care that has changed in either the delivery of care or method of assessing care of the patient. Nursing experts will describe some of the historical changes and intrigue you in the changes expected to come to the bedside. Why is this issue important? First, we gain insight from a review of where we have been and nurses tend to reminisce on our past as well as romance our historical roots. Second, technology is ever changing and it is good practice to keep abreast of what is happening in other areas of nursing so that we can apply others successes in our own specific areas of nursing. Third, informatics in nursing is a growing field and nursing must embrace technology and learn to adapt various methods of delivery so that we can appropriately care for and advocate for our patients.With the changes in our national healthcare system, we must encourage nurses to try out new methods of delivery as well as encourage their ideas of how nursing can change. The articles in this issue reflect these changes.

Geriatric Dentistry, An Issue of Dental Clinics of North America

  • 1st Edition
  • Volume 58-4
  • September 9, 2014
  • Lisa A. Thompson
  • English
  • Hardback
    9 7 8 - 0 - 3 2 3 - 3 2 6 0 5 - 6
  • eBook
    9 7 8 - 0 - 3 2 3 - 3 2 6 0 6 - 3
This issue of Dental Clinics, edited by Lisa A. Thompson and Leonard J. Brennan, focuses on Geriatric Dentistry. Articles include: Our Current Geriatric Population: Demographic and Oral Health Care Utilization; Physiology of Aging of Older Adults: Systemic and Oral Health Considerations; Treatment Planning Considerations in Older Adults; Oral Health Disparity in Older Adults: Dental Decay and Tooth Loss; Oral Health Disparities in Older Adults: Oral bacteria, Inflammation and Aspiration Pneumonia; Salivary Function and Xerostomia and the Implications of Polypharmacy in Elderly; Systemic and Oral Health; Cognitive Impairment in Older Adults and Oral Health considerations: Treatment and Management; Integrating Oral Health into the Interdisciplinary Health Sciences Curriculum; Innovations in Dental Care Delivery for the Older Adult; and more!

Data Acquisition Techniques Using PC

  • 1st Edition
  • June 28, 2014
  • Howard Austerlitz
  • English
  • eBook
    9 7 8 - 1 - 4 8 3 2 - 9 4 7 3 - 5
Data Acquisition Techniques Using Personal Computers contains all the information required by a technical professional (engineer, scientist, technician) to implement a PC-based acquisition system. Including both basic tutorial information as well as some advanced topics, this work is suitable as a reference book for engineers or as a supplemental text for engineering students. It gives the reader enough understanding of the topics to implement a data acquisition system based on commercial products. A reader can alternatively learn how to custom build hardware or write his or her own software. Featuring diverse information, this book will be useful to both the technical professional and the hobbyist.

Archives and the computer

  • 2nd Edition
  • May 20, 2014
  • Michael J. Cook
  • English
  • eBook
    9 7 8 - 1 - 4 8 3 1 - 0 1 0 8 - 8
Archives and the Computer deals with the use of the computer and its systems and programs in archiving data and other related materials. The book covers topics such as the scope of automated systems in archives; systems for records management, archival description, and retrieval; and machine-readable archives. The selection also features examples of archives from different institutions such as the University of Liverpool, Berkshire County Record Office, and the National Maritime Museum.The text is recommended for archivists who would like to know more about the use of computers in archiving of records and other related information.

A Simple Introduction to Data and Activity Analysis

  • 1st Edition
  • May 12, 2014
  • Rosemary Rock-Evans
  • English
  • eBook
    9 7 8 - 1 - 4 8 3 1 - 8 4 0 5 - 0
A Simple Introduction to Data and Activity Analysis provides an introduction to the main concepts embodied in the analysis techniques. This book provides a more balanced picture of the methods of the analysis by showing what deliverables are collected as well as how to obtain them. Organized into eight chapters, this book begins with an overview of some of the activities that need to be done to analyze the business and some of the end and intermediate deliverables produced by these activities. This text then explains how to get the activity analysis deliverables. Other chapters consider the causes and effects of problems in business. This book discusses as well how activities can be decomposed or broken down into more and more detailed activities, using the techniques of activity decomposition and data flow diagramming. The final chapter deals with the methods of analysis that show how different types of input could be converted into the data and activity models. This book is a valuable resource for computer programmers.

Nursing-Sensitive Indicators, An Issue of Nursing Clinics

  • 1st Edition
  • Volume 49-1
  • February 14, 2014
  • Cecilia Anne Kennedy Page
  • English
  • Hardback
    9 7 8 - 0 - 3 2 3 - 2 8 7 1 4 - 2
  • eBook
    9 7 8 - 0 - 3 2 3 - 2 8 7 1 5 - 9
Innovations that bring value propositions through new processes, resources, or technologies to practice. How are we changing outcomes through new innovations in practice? The articles in this issue will provide nurses with the information they need to improve patient outcomes. Articles are devoted to skin cancer screening in the medically underserved, innovative practices for risk assessment and documentation in preventative colon screenings, evidenced-based protocol for diagnosis and treatment of catheter associated urinary tract infection within adult neurocritical care patient population, changing the focus to the PATIENT plan of care, and a nursing focus on EMR usability enhancing documentation of patient outcomes.

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.

Measuring Data Quality for Ongoing Improvement

  • 1st Edition
  • December 31, 2012
  • Laura Sebastian-Coleman
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 3 9 7 0 3 3 - 6
  • eBook
    9 7 8 - 0 - 1 2 - 3 9 7 7 5 4 - 0
The Data Quality Assessment Framework shows you how to measure and monitor data quality, ensuring quality over time. You’ll start with general concepts of measurement and work your way through a detailed framework of more than three dozen measurement types related to five objective dimensions of quality: completeness, timeliness, consistency, validity, and integrity. Ongoing measurement, rather than one time activities will help your organization reach a new level of data quality. This plain-language approach to measuring data can be understood by both business and IT and provides practical guidance on how to apply the DQAF within any organization enabling you to prioritize measurements and effectively report on results. Strategies for using data measurement to govern and improve the quality of data and guidelines for applying the framework within a data asset are included. You’ll come away able to prioritize which measurement types to implement, knowing where to place them in a data flow and how frequently to measure. Common conceptual models for defining and storing of data quality results for purposes of trend analysis are also included as well as generic business requirements for ongoing measuring and monitoring including calculations and comparisons that make the measurements meaningful and help understand trends and detect anomalies.