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Elsevier

Books in Data

This collection spans data management, storage, retrieval, and big data analytics. Showcasing advanced database technologies, data science, and data mining, it supports researchers, data scientists, and industry professionals in harnessing data for insights. Addressing data quality, privacy, and scalable architectures, these resources enable informed decision-making and foster innovation in data-driven domains.

  • PROP - Module G: Nervous System, Law and Ethics, Psychology and Therapeutic Procedures Elsevier eBook on VitalSource

    • 4th Edition
    • Zenith
    • English

  • PROP - Module F: Pediatrics, Geriatrics, Endocrine and Reproductive Systems Elsevier eBook on VitalSource

    • 4th Edition
    • Zenith
    • English

  • PROP - Module A: Integumentary, Sensory Systems, Patient Care and Communication Elsevier eBook on VitalSource

    • 4th Edition
    • Zenith
    • English

  • Misch's Avoiding Complications in Oral Implantology

    • 1st Edition
    • Carl E. Misch + 1 more
    • English
    See how to effectively manage ALL dental implant complications throughout ALL phases of treatment! Avoiding Complications in Oral Implantology provides evidence-based management protocols for a wide range of implant problems such as placement complications, malpositioning, bleeding, infection, and nerve injuries. Hundreds of high-quality, full-color photos and illustrations clearly demonstrate the complications and their resolution. Edited by Carl Misch and Randolph Resnik — both well-known names in dental implantology and prosthodontics — and with a team of expert contributors, this authoritative guide helps you handle the implant-related complications that can occur as more and more patients choose dental implants.

  • Big Data and Smart Service Systems

    • 1st Edition
    • Xiwei Liu + 4 more
    • English
    Big Data and Smart Service Systems presents the theories and applications regarding Big Data and smart service systems, data acquisition, smart cities, business decision-making support, and smart service design. The rapid development of computer and Internet technologies has led the world to the era of Big Data. Big Data technologies are widely used, which has brought unprecedented impacts on traditional industries and lifestyle. More and more governments, business sectors, and institutions begin to realize data is becoming the most valuable asset and its analysis is becoming the core competitiveness.

  • Network Storage

    Tools and Technologies for Storing Your Company’s Data
    • 1st Edition
    • James O'Reilly
    • English
    Network Storage: Tools and Technologies for Storing Your Company’s Data explains the changes occurring in storage, what they mean, and how to negotiate the minefields of conflicting technologies that litter the storage arena, all in an effort to help IT managers create a solid foundation for coming decades. The book begins with an overview of the current state of storage and its evolution from the network perspective, looking closely at the different protocols and connection schemes and how they differentiate in use case and operational behavior. The book explores the software changes that are motivating this evolution, ranging from data management, to in-stream processing and storage in virtual systems, and changes in the decades-old OS stack. It explores Software-Defined Storage as a way to construct storage networks, the impact of Big Data, high-performance computing, and the cloud on storage networking. As networks and data integrity are intertwined, the book looks at how data is split up and moved to the various appliances holding that dataset and its impact. Because data security is often neglected, users will find a comprehensive discussion on security issues that offers remedies that can be applied. The book concludes with a look at technologies on the horizon that will impact storage and its networks, such as NVDIMMs, The Hybrid Memory Cube, VSANs, and NAND Killers.

  • Data Hiding Techniques in Windows OS

    A Practical Approach to Investigation and Defense
    • 1st Edition
    • Nihad Ahmad Hassan + 1 more
    • English
    "This unique book delves down into the capabilities of hiding and obscuring data object within the Windows Operating System. However, one of the most noticeable and credible features of this publication is, it takes the reader from the very basics and background of data hiding techniques, and run’s on the reading-road to arrive at some of the more complex methodologies employed for concealing data object from the human eye and/or the investigation. As a practitioner in the Digital Age, I can see this book siting on the shelves of Cyber Security Professionals, and those working in the world of Digital Forensics – it is a recommended read, and is in my opinion a very valuable asset to those who are interested in the landscape of unknown unknowns. This is a book which may well help to discover more about that which is not in immediate view of the onlooker, and open up the mind to expand its imagination beyond its accepted limitations of known knowns." - John Walker, CSIRT/SOC/Cyber Threat Intelligence Specialist Featured in Digital Forensics Magazine, February 2017 In the digital world, the need to protect online communications increase as the technology behind it evolves. There are many techniques currently available to encrypt and secure our communication channels. Data hiding techniques can take data confidentiality to a new level as we can hide our secret messages in ordinary, honest-looking data files. Steganography is the science of hiding data. It has several categorizations, and each type has its own techniques in hiding. Steganography has played a vital role in secret communication during wars since the dawn of history. In recent days, few computer users successfully manage to exploit their Windows® machine to conceal their private data. Businesses also have deep concerns about misusing data hiding techniques. Many employers are amazed at how easily their valuable information can get out of their company walls. In many legal cases a disgruntled employee would successfully steal company private data despite all security measures implemented using simple digital hiding techniques. Human right activists who live in countries controlled by oppressive regimes need ways to smuggle their online communications without attracting surveillance monitoring systems, continuously scan in/out internet traffic for interesting keywords and other artifacts. The same applies to journalists and whistleblowers all over the world. Computer forensic investigators, law enforcements officers, intelligence services and IT security professionals need a guide to tell them where criminals can conceal their data in Windows® OS & multimedia files and how they can discover concealed data quickly and retrieve it in a forensic way. Data Hiding Techniques in Windows OS is a response to all these concerns. Data hiding topics are usually approached in most books using an academic method, with long math equations about how each hiding technique algorithm works behind the scene, and are usually targeted at people who work in the academic arenas. This book teaches professionals and end users alike how they can hide their data and discover the hidden ones using a variety of ways under the most commonly used operating system on earth, Windows®. This is your hands-on guide to understand, detect and use today’s most popular techniques in hiding and exploring hidden data under Windows® machines, covering all Windows® versions from XP till Windows® 10. Starting with the Roman Emperor, Julius Caesar, and his simple cipher method to the surveillance programs deployed by NSA, to monitor communication and online traffic, this book will teach you everything you need to know to protect your digital data using steganographic & anonymity cryptographic techniques. Written in a simple style and requiring only basic knowledge of main Windows® functions, techniques are presented in a way to easily implement them directly on your computer.

  • Big Data

    Principles and Paradigms
    • 1st Edition
    • Rajkumar Buyya + 2 more
    • English
    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.

  • Data Simplification

    Taming Information With Open Source Tools
    • 1st Edition
    • Jules J. Berman
    • English
    Data Simplification: Taming Information With Open Source Tools addresses the simple fact that modern data is too big and complex to analyze in its native form. Data simplification is the process whereby large and complex data is rendered usable. Complex data must be simplified before it can be analyzed, but the process of data simplification is anything but simple, requiring a specialized set of skills and tools. This book provides data scientists from every scientific discipline with the methods and tools to simplify their data for immediate analysis or long-term storage in a form that can be readily repurposed or integrated with other data. Drawing upon years of practical experience, and using numerous examples and use cases, Jules Berman discusses the principles, methods, and tools that must be studied and mastered to achieve data simplification, open source tools, free utilities and snippets of code that can be reused and repurposed to simplify data, natural language processing and machine translation as a tool to simplify data, and data summarization and visualization and the role they play in making data useful for the end user.

  • Mobile Data Loss

    Threats and Countermeasures
    • 1st Edition
    • Michael T. Raggo
    • English
    The mobile threat landscape is evolving bringing about new forms of data loss. No longer can organizations rely on security policies designed during the PC era. Mobile is different and therefore requires a revised approach to countermeasures to mitigate data loss. Understanding these differences is fundamental to creating a new defense-in-depth strategy designed for mobile. Mobile Data Loss: Threats & Countermeasures reviews the mobile threat landscape using a hacker mind-set to outline risks and attack vectors that include malware, risky apps, operating system compromises, network attacks, and user behaviours. This provides the basis for then outlining countermeasures for defining a holistic mobile security methodology that encompasses proactive protections, response mechanisms, live monitoring, and incident response. Designing a comprehensive mobile security strategy is key. Mobile Data Loss: Threats & Countermeasures outlines the threats and strategies for protecting devices from a plethora of data loss vectors.

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