Skip to main content
Elsevier
View Cart

Books in Computer science

The Computing collection presents a range of foundational and applied content across computer and data science, including fields such as Artificial Intelligence; Computational Modelling; Computer Networks, Computer Organization & Architecture, Computer Vision & Pattern Recognition, Data Management; Embedded Systems & Computer Engineering; HCI/User Interface Design; Information Security; Machine Learning; Network Security; Software Engineering.

BooksJournals

    • Protecting Patient Information

      • 1st Edition
      • April 7, 2016
      • Paul Cerrato
      • English
      • Paperback
        9 7 8 0 1 2 8 0 4 3 9 2 9
      • eBook
        9 7 8 0 1 2 8 0 4 4 1 1 7
      Protecting Patient Information: A Decision-Maker's Guide to Risk, Prevention, and Damage Control provides the concrete steps needed to tighten the information security of any healthcare IT system and reduce the risk of exposing patient health information (PHI) to the public. The book offers a systematic, 3-pronged approach for addressing the IT security deficits present in healthcare organizations of all sizes. Healthcare decision-makers are shown how to conduct an in-depth analysis of their organization’s information risk level. After this assessment is complete, the book offers specific measures for lowering the risk of a data breach, taking into account federal and state regulations governing the use of patient data. Finally, the book outlines the steps necessary when an organization experiences a data breach, even when it has taken all the right precautions.

    • Sentiment Analysis in Social Networks

      • 1st Edition
      • September 15, 2016
      • Federico Alberto Pozzi + 3 more
      • English
      • Paperback
        9 7 8 0 1 2 8 0 4 4 1 2 4
      • eBook
        9 7 8 0 1 2 8 0 4 4 3 8 4
      The aim of Sentiment Analysis is to define automatic tools able to extract subjective information from texts in natural language, such as opinions and sentiments, in order to create structured and actionable knowledge to be used by either a decision support system or a decision maker. Sentiment analysis has gained even more value with the advent and growth of social networking. Sentiment Analysis in Social Networks begins with an overview of the latest research trends in the field. It then discusses the sociological and psychological processes underling social network interactions. The book explores both semantic and machine learning models and methods that address context-dependent and dynamic text in online social networks, showing how social network streams pose numerous challenges due to their large-scale, short, noisy, context- dependent and dynamic nature. Further, this volume: Takes an interdisciplinary approach from a number of computing domains, including natural language processing, machine learning, big data, and statistical methodologies Provides insights into opinion spamming, reasoning, and social network analysis Shows how to apply sentiment analysis tools for a particular application and domain, and how to get the best results for understanding the consequences Serves as a one-stop reference for the state-of-the-art in social media analytics

    • Quantum Inspired Computational Intelligence

      • 1st Edition
      • September 15, 2016
      • Siddhartha Bhattacharyya + 2 more
      • English
      • Paperback
        9 7 8 0 1 2 8 0 4 4 0 9 4
      • eBook
        9 7 8 0 1 2 8 0 4 4 3 7 7
      Quantum Inspired Computational Intelligence: Research and Applications explores the latest quantum computational intelligence approaches, initiatives, and applications in computing, engineering, science, and business. The book explores this emerging field of research that applies principles of quantum mechanics to develop more efficient and robust intelligent systems. Conventional computational intelligence—or soft computing—is conjoined with quantum computing to achieve this objective. The models covered can be applied to any endeavor which handles complex and meaningful information.

    • Predictive Modeling of Drug Sensitivity

      • 1st Edition
      • November 15, 2016
      • Ranadip Pal
      • English
      • Paperback
        9 7 8 0 1 2 8 0 5 2 7 4 7
      • eBook
        9 7 8 0 1 2 8 0 5 4 3 1 4
      Predictive Modeling of Drug Sensitivity gives an overview of drug sensitivity modeling for personalized medicine that includes data characterizations, modeling techniques, applications, and research challenges. It covers the major mathematical techniques used for modeling drug sensitivity, and includes the requisite biological knowledge to guide a user to apply the mathematical tools in different biological scenarios. This book is an ideal reference for computer scientists, engineers, computational biologists, and mathematicians who want to understand and apply multiple approaches and methods to drug sensitivity modeling. The reader will learn a broad range of mathematical and computational techniques applied to the modeling of drug sensitivity, biological concepts, and measurement techniques crucial to drug sensitivity modeling, how to design a combination of drugs under different constraints, and the applications of drug sensitivity prediction methodologies.

    • OCEB 2 Certification Guide

      • 2nd Edition
      • July 15, 2016
      • Tim Weilkiens + 3 more
      • English
      • Paperback
        9 7 8 0 1 2 8 0 5 3 5 2 2
      • eBook
        9 7 8 0 1 2 8 1 0 9 8 4 7
      OCEB 2 Certification Guide, Second Edition has been updated to cover the new version 2 of the BPMN standard and delivers expert insight into BPM from one of the developers of the OCEB Fundamental exam, offering full coverage of the fundamental exam material for both the business and technical tracks to further certification. The first study guide prepares candidates to take—and pass—the OCEB Fundamental exam, explaining and building on basic concepts, focusing on key areas, and testing knowledge of all critical topics with sample questions and detailed answers. Suitable for practitioners, and those newer to the field, this book provides a solid grounding in business process management based on the authors’ own extensive BPM consulting experiences.

    • Network Performance and Security

      • 1st Edition
      • March 9, 2016
      • Chris Chapman
      • English
      • Paperback
        9 7 8 0 1 2 8 0 3 5 8 4 9
      • eBook
        9 7 8 0 1 2 8 0 3 6 0 1 3
      Network Performance Security: Testing and Analyzing Using Open Source and Low-Cost Tools gives mid-level IT engineers the practical tips and tricks they need to use the best open source or low cost tools available to harden their IT infrastructure. The book details how to use the tools and how to interpret them. Network Performance Security: Testing and Analyzing Using Open Source and Low-Cost Tools begins with an overview of best practices for testing security and performance across devices and the network. It then shows how to document assets—such as servers, switches, hypervisor hosts, routers, and firewalls—using publicly available tools for network inventory. The book explores security zoning the network, with an emphasis on isolated entry points for various classes of access. It shows how to use open source tools to test network configurations for malware attacks, DDoS, botnet, rootkit and worm attacks, and concludes with tactics on how to prepare and execute a mediation schedule of the who, what, where, when, and how, when an attack hits. Network security is a requirement for any modern IT infrastructure. Using Network Performance Security: Testing and Analyzing Using Open Source and Low-Cost Tools makes the network stronger by using a layered approach of practical advice and good testing practices.

    • 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.

    • Advanced Data Analysis and Modelling in Chemical Engineering

      • 1st Edition
      • August 23, 2016
      • Denis Constales + 4 more
      • English
      • Hardback
        9 7 8 0 4 4 4 5 9 4 8 5 3
      • eBook
        9 7 8 0 4 4 4 5 9 4 8 4 6
      Advanced Data Analysis and Modeling in Chemical Engineering provides the mathematical foundations of different areas of chemical engineering and describes typical applications. The book presents the key areas of chemical engineering, their mathematical foundations, and corresponding modeling techniques. Modern industrial production is based on solid scientific methods, many of which are part of chemical engineering. To produce new substances or materials, engineers must devise special reactors and procedures, while also observing stringent safety requirements and striving to optimize the efficiency jointly in economic and ecological terms. In chemical engineering, mathematical methods are considered to be driving forces of many innovations in material design and process development.

    • Methods and Tools in User-Centred Design for Information Technology

      • 1st Edition
      • Volume 9
      • July 29, 2016
      • Margaret Galer + 3 more
      • English
      • eBook
        9 7 8 1 4 8 3 2 9 1 3 0 7
      This book is concerned with the development of human factorsinputs to software design. The aim is to create products whichmatch the requirements and characteristics of users and whichoffer usable user interfaces. The HUFIT project - Human Factorsin Information Technology - was carried out within the EuropeanStrategic Programme for Research and Development in InformationTechnolog... (ESPRIT) with the objective of enhancing the qualityof software design within the European Community. The variety ofactivities undertaken to achieve this goal are reflected in thisbook. It describes human factors knowledge and tools forintegration in information technology supplier organisations.

    • The Visual Imperative

      • 1st Edition
      • March 9, 2016
      • Lindy Ryan
      • English
      • Paperback
        9 7 8 0 1 2 8 0 3 8 4 4 4
      • eBook
        9 7 8 0 1 2 8 0 3 9 3 0 4
      Data is powerful. It separates leaders from laggards and it drives business disruption, transformation, and reinvention. Today’s most progressive companies are using the power of data to propel their industries into new areas of innovation, specialization, and optimization. The horsepower of new tools and technologies have provided more opportunities than ever to harness, integrate, and interact with massive amounts of disparate data for business insights and value – something that will only continue in the era of the Internet of Things. And, as a new breed of tech-savvy and digitally native knowledge workers rise to the ranks of data scientist and visual analyst, the needs and demands of the people working with data are changing, too. The world of data is changing fast. And, it’s becoming more visual. Visual insights are becoming increasingly dominant in information management, and with the reinvigorated role of data visualization, this imperative is a driving force to creating a visual culture of data discovery. The traditional standards of data visualizations are making way for richer, more robust and more advanced visualizations and new ways of seeing and interacting with data. However, while data visualization is a critical tool to exploring and understanding bigger and more diverse and dynamic data, by understanding and embracing our human hardwiring for visual communication and storytelling and properly incorporating key design principles and evolving best practices, we take the next step forward to transform data visualizations from tools into unique visual information assets.

Related subjects

Applications

Artificial intelligence

Business intelligence

Computer systems organization

Computer vision and pattern recognition

Computing milieux

Data

Graphics cad hci

Hardware and architecture

Information systems

Internet and web technology

Software

Theory and mathematics