Skip to main content
Elsevier
View Cart
openUserAccount

Books in Data general

BooksJournals
11-20 of 40 results in All results

Executing Data Quality Projects

  • 2nd Edition
  • May 21, 2021
  • Danette McGilvray
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 1 8 0 1 5 - 0
  • eBook
    9 7 8 - 0 - 1 2 - 8 1 8 0 1 6 - 7
Executing Data Quality Projects, Second Edition presents a structured yet flexible approach for creating, improving, sustaining and managing the quality of data and information within any organization. Studies show that data quality problems are costing businesses billions of dollars each year, with poor data linked to waste and inefficiency, damaged credibility among customers and suppliers, and an organizational inability to make sound decisions. Help is here! This book describes a proven Ten Step approach that combines a conceptual framework for understanding information quality with techniques, tools, and instructions for practically putting the approach to work – with the end result of high-quality trusted data and information, so critical to today’s data-dependent organizations. The Ten Steps approach applies to all types of data and all types of organizations – for-profit in any industry, non-profit, government, education, healthcare, science, research, and medicine. This book includes numerous templates, detailed examples, and practical advice for executing every step. At the same time, readers are advised on how to select relevant steps and apply them in different ways to best address the many situations they will face. The layout allows for quick reference with an easy-to-use format highlighting key concepts and definitions, important checkpoints, communication activities, best practices, and warnings. The experience of actual clients and users of the Ten Steps provide real examples of outputs for the steps plus highlighted, sidebar case studies called Ten Steps in Action. This book uses projects as the vehicle for data quality work and the word broadly to include: 1) focused data quality improvement projects, such as improving data used in supply chain management, 2) data quality activities in other projects such as building new applications and migrating data from legacy systems, integrating data because of mergers and acquisitions, or untangling data due to organizational breakups, and 3) ad hoc use of data quality steps, techniques, or activities in the course of daily work. The Ten Steps approach can also be used to enrich an organization’s standard SDLC (whether sequential or Agile) and it complements general improvement methodologies such as six sigma or lean. No two data quality projects are the same but the flexible nature of the Ten Steps means the methodology can be applied to all. The new Second Edition highlights topics such as artificial intelligence and machine learning, Internet of Things, security and privacy, analytics, legal and regulatory requirements, data science, big data, data lakes, and cloud computing, among others, to show their dependence on data and information and why data quality is more relevant and critical now than ever before.

Intelligent Data Security Solutions for e-Health Applications

  • 1st Edition
  • August 26, 2020
  • Amit Kumar Singh + 1 more
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 1 9 5 1 1 - 6
  • eBook
    9 7 8 - 0 - 1 2 - 8 1 9 5 3 8 - 3
E-health applications such as tele-medicine, tele-radiology, tele-ophthalmology, and tele-diagnosis are very promising and have immense potential to improve global healthcare. They can improve access, equity, and quality through the connection of healthcare facilities and healthcare professionals, diminishing geographical and physical barriers. One critical issue, however, is related to the security of data transmission and access to the technologies of medical information. Currently, medical-related identity theft costs billions of dollars each year and altered medical information can put a person’s health at risk through misdiagnosis, delayed treatment or incorrect prescriptions. Yet, the use of hand-held devices for storing, accessing, and transmitting medical information is outpacing the privacy and security protections on those devices. Researchers are starting to develop some imperceptible marks to ensure the tamper-proofing, cost effective, and guaranteed originality of the medical records. However, the robustness, security and efficient image archiving and retrieval of medical data information against these cyberattacks is a challenging area for researchers in the field of e-health applications. Intelligent Data Security Solutions for e-Health Applications focuses on cutting-edge academic and industry-related research in this field, with particular emphasis on interdisciplinary approaches and novel techniques to provide security solutions for smart applications. The book provides an overview of cutting-edge security techniques and ideas to help graduate students, researchers, as well as IT professionals who want to understand the opportunities and challenges of using emerging techniques and algorithms for designing and developing more secure systems and methods for e-health applications.

Essential Surgery

  • 6th Edition
  • December 21, 2019
  • Philip J. Deakin + 3 more
  • English
  • Paperback
    9 7 8 - 0 - 7 0 2 0 - 7 6 3 1 - 2
  • Paperback
    9 7 8 - 0 - 7 0 2 0 - 7 6 3 2 - 9
Essential Surgery is well-established as one of the leading textbooks of surgery for medical students, core surgical trainees and those in professions allied to medicine. Covering general surgery, trauma, orthopaedics, vascular surgery, urology, paediatric surgery, cardiothoracic surgery, neurosurgery, maxillofacial surgery and ENT, it also incorporates appropriate levels of basic science throughout. The book is ideal to accompany clinical courses, as well as being a practical manual for readers at more advanced levels requiring a revision aid for exams. Its main aim is to stimulate the reader to a greater enjoyment and understanding of the practice of surgery.

Building Big Data Applications

  • 1st Edition
  • November 15, 2019
  • Krish Krishnan
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 1 5 7 4 6 - 6
  • eBook
    9 7 8 - 0 - 1 2 - 8 1 5 8 0 4 - 3
Building Big Data Applications helps data managers and their organizations make the most of unstructured data with an existing data warehouse. It provides readers with what they need to know to make sense of how Big Data fits into the world of Data Warehousing. Readers will learn about infrastructure options and integration and come away with a solid understanding on how to leverage various architectures for integration. The book includes a wide range of use cases that will help data managers visualize reference architectures in the context of specific industries (healthcare, big oil, transportation, software, etc.).

The Master Adaptive Learner

  • 1st Edition
  • September 29, 2019
  • William Cutrer + 4 more
  • English
  • Paperback
    9 7 8 - 0 - 3 2 3 - 7 1 1 1 1 - 1
  • eBook
    9 7 8 - 0 - 3 2 3 - 7 1 1 1 2 - 8
Tomorrow’s best physicians will be those who continually learn, adjust, and innovate as new information and best practices evolve, reflecting adaptive expertise in response to practice challenges. As the first volume in the American Medical Association’s MedEd Innovation Series, The Master Adaptive Learner is an instructor-focused guide covering models for how to train and teach future clinicians who need to develop these adaptive skills and utilize them throughout their careers.

Model Management and Analytics for Large Scale Systems

  • 1st Edition
  • September 14, 2019
  • Bedir Tekinerdogan + 4 more
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 1 6 6 4 9 - 9
  • eBook
    9 7 8 - 0 - 1 2 - 8 1 6 6 5 0 - 5
Model Management and Analytics for Large Scale Systems covers the use of models and related artefacts (such as metamodels and model transformations) as central elements for tackling the complexity of building systems and managing data. With their increased use across diverse settings, the complexity, size, multiplicity and variety of those artefacts has increased. Originally developed for software engineering, these approaches can now be used to simplify the analytics of large-scale models and automate complex data analysis processes. Those in the field of data science will gain novel insights on the topic of model analytics that go beyond both model-based development and data analytics. This book is aimed at both researchers and practitioners who are interested in model-based development and the analytics of large-scale models, ranging from big data management and analytics, to enterprise domains. The book could also be used in graduate courses on model development, data analytics and data management.

Mosby's Dental Dictionary

  • 4th Edition
  • April 5, 2019
  • Elsevier Inc
  • English
  • Paperback
    9 7 8 - 0 - 3 2 3 - 5 4 6 3 5 - 5
  • eBook
    9 7 8 - 0 - 3 2 3 - 5 5 1 0 6 - 9
**Selected for Doody’s Core Titles® 2024 with "Essential Purchase" designation in Dictionaries/Terminology**An essential dental resource that goes beyond education! Mosby's Dental Dictionary, 4th Edition is the must-have, pocket-sized reference covering all areas of dentistry that’s designed for both students and practitioners. This new edition defines over 10,000 terms on dynamic areas of dentistry, including materials, imaging, surgery, orthodontics, pain control, and more.　Throughout the text, over 300 illustrations address new innovations, research, technology, and products in the field, and extensive appendices provide quick access to the information you will use every day. Plus, a free companion website contains more than 5,000 audio pronunciations, 500 additional images, videos, and animations to help illustrate key concepts.

Examen clinique et sémiologie - Macleod

  • 1st Edition
  • April 3, 2019
  • J. Alastair Innes + 3 more
  • French
  • eBook
    9 7 8 - 2 - 2 9 4 - 7 5 9 3 6 - 9
L’examen clinique est essentiel à l’identification d’une maladie et l’évaluation de son pronostic.Cet ouvrage de référence dans le monde médical anglo-saxon explique avec détail comment évaluer les symptômes d’un patient et établir un diagnostic au travers de l’anamnèse et de l’examen physique.Son objectif est d’aider l’étudiant à développer les compétences cliniques nécessaires à l’obtention d’une anamnèse claire et les compétences pratiques indispensables à la détection et l’interprétation des signes cliniques des maladies.Le livre est composé de quatre grandes parties :Anamnèse et examen physique : elle aborde les principes généraux d’une bonne interaction avec le patient, depuis les bases du recueil de l’anamnèse et de la réalisation d’un examen physique à l’utilisation de tableaux cliniques permettant des diagnostics.Sémiologie par appareil : cette partie traite des symptômes et des signes selon une approche par système.Situations spécifiques : elle illustre l’application de ces compétences à des situations cliniques particulières.Mise en pratique : cette partie s’intéresse à l’application de ces compétences à la pratique quotidienne et propose des conseils pour s’y préparer efficacement.Il est également proposé dans chaque chapitre des exemples d’Examen Clinique Objectif Structuré correspondant à une méthode d’évaluation des étudiants très prisée dans les pays anglo-saxons. Ils consistent en une mise en situation pratique face à un mannequin ou un comédien jouant un scénario clinique court.Ce livre aborde également les différentes étapes de chaque examen qui sont présentées de manière détaillée, étayées de nombreux encadrés et illustrations. Il est particulièrement adapté aux étudiants en DFGSM2-DFGSM3 dans le cadre de l’enseignement thématique « Sémiologie générale » et les enseignements intégrés par système (sémiologie clinique) mais également aux étudiants en pharmacie. Il intéressera également les étudiants en DFASM préparant les ECNi mais aussi les enseignants et praticiens désireux de mettre à jour leurs connaissances.

Meta-Analytics

  • 1st Edition
  • March 10, 2019
  • Steven Simske
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 1 4 6 2 3 - 1
  • eBook
    9 7 8 - 0 - 1 2 - 8 1 4 6 2 4 - 8
Meta-Analytics: Consensus Approaches and System Patterns for Data Analysis presents an exhaustive set of patterns for data science to use on any machine learning based data analysis task. The book virtually ensures that at least one pattern will lead to better overall system behavior than the use of traditional analytics approaches. The book is ‘meta’ to analytics, covering general analytics in sufficient detail for readers to engage with, and understand, hybrid or meta- approaches. The book has relevance to machine translation, robotics, biological and social sciences, medical and healthcare informatics, economics, business and finance. Inn addition, the analytics within can be applied to predictive algorithms for everyone from police departments to sports analysts.

Rodak's Hematology

  • 6th Edition
  • February 22, 2019
  • Elaine M. Keohane + 2 more
  • English
  • eBook
    9 7 8 - 0 - 3 2 3 - 5 4 9 6 3 - 9
**Selected for Doody’s Core Titles® 2024 in Laboratory Technology**Make sure you are thoroughly prepared to work in a clinical lab. Rodak’s Hematology: Clinical Principles and Applications, 6th Edition uses hundreds of full-color photomicrographs to help you understand the essentials of hematology. This new edition shows how to accurately identify cells, simplifies hemostasis and thrombosis concepts, and covers normal hematopoiesis through diseases of erythroid, myeloid, lymphoid, and megakaryocytic origins. Easy to follow and understand, this book also covers key topics including: working in a hematology lab; complementary testing areas such as flow cytometry, cytogenetics, and molecular diagnostics; the parts and functions of the cell; and laboratory testing of blood cells and body fluid cells.