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  • Secure Data Science

    Integrating Cyber Security and Data Science

    Secure data science, which integrates cyber security and data science, is becoming one of the critical areas in both cyber security and data science. This is because the novel data science techniques being developed have applications in solving such cyber security problems as intrusion detection, malware analysis, and insider threat detection. However, the data science techniques being applied not ... Read more

    $64.99 USD

  • Secure Data Provenance and Inference Control with Semantic Web

    This book supplies step-by-step instructions on how to secure the provenance of data to make sure it is safe from inference attacks. It details the design and implementation of a policy engine for provenance of data and presents case studies that illustrate solutions in a typical distributed health care system for hospitals. Although the case studies describe solutions in the health care domain, ... Read more

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  • Adversarial Machine Learning

    Series series Synthesis Lectures on Artificial Intelligence and Machine Learning
    This is a technical overview of the field of adversarial machine learning which has emerged to study vulnerabilities of machine learning approaches in adversarial settings and to develop techniques to make learning robust to adversarial manipulation.After reviewing machine learning concepts and approaches, as well as common use cases of these in adversarial settings, we present a general ... Read more

    $50.99 USD

  • Analyzing and Securing Social Networks

    Analyzing and Securing Social Networks focuses on the two major technologies that have been developed for online social networks (OSNs): (i) data mining technologies for analyzing these networks and extracting useful information such as location, demographics, and sentiments of the participants of the network, and (ii) security and privacy technolo ... Read more

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    Series series Synthesis Lectures on Software Engineering
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  • Data Warehouse Design: Modern Principles and Methodologies

    Foreword by Mark Stephen LaRow, Vice President of Products, MicroStrategy"A unique and authoritative book that blends recent research developments with industry-level practices for researchers, students, and industry practitioners." Il-Yeol Song, Professor, College of Information Science and Technology, Drexel University ... Read more

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  • Database Design: Know It All

    Know It All

    This book brings all of the elements of database design together in a single volume, saving the reader the time and expense of making multiple purchases. It consolidates both introductory and advanced topics, thereby covering the gamut of database design methodology ? from ER and UML techniques, to conceptual data modeling and table transformation, to storing XML and querying moving objects ... Read more

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  • Engineering a Compiler

    This entirely revised second edition of Engineering a Compiler is full of technical updates and new material covering the latest developments in compiler technology. In this comprehensive text you will learn important techniques for constructing a modern compiler. Leading educators and researchers Keith Cooper and Linda Torczon combine basic principles with pragmatic insights from their experience ... Read more

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  • Software Engineering & Object Oriented Modeling

    Software Engineering and Object Oriented Modeling: This book is specially written for those who are interested in understanding software engineering and Object Oriented Modeling concepts using UML in the Computer Engineering and Information technology field and want to gain enhanced knowledge about the power of UML Language in software development.Also everyone with interest in learning UML for ... Read more

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  • Database in Depth

    Relational Theory for Practitioners

    by C.J. Date ...
    This book sheds light on the principles behind the relational model, which is fundamental to all database-backed applications--and, consequently, most of the work that goes on in the computing world today. Database in Depth: The Relational Model for Practitioners goes beyond the hype and gets to the heart of how relational databases actually work.Ideal for experienced database developers and ... Read more

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  • Why Programs Fail

    A Guide to Systematic Debugging

    Why Programs Fail: A Guide to Systematic Debugging is proof that debugging has graduated from a black art to a systematic discipline. It demystifies one of the toughest aspects of software programming, showing clearly how to discover what caused software failures, and fix them with minimal muss and fuss. The fully updated second edition includes 100+ pages of new material, including new chapters ... Read more

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  • Natural Language Annotation for Machine Learning

    A Guide to Corpus-Building for Applications

    Create your own natural language training corpus for machine learning. Whether you’re working with English, Chinese, or any other natural language, this hands-on book guides you through a proven annotation development cycle—the process of adding metadata to your training corpus to help ML algorithms work more efficiently. You don’t need any programming or linguistics experience to get started ... Read more

    $23.99 USD