CompTIA Security+ All-in-One Exam Guide, Fourth Edition (Exam SY0-401)
Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated fourth edition of the most acclaimed work on data mining and machine learning teaches readers everything they need to know to get going, from preparing inputs, interpreting outputs, evaluating results, to the algorithmic methods at the heart of successful data mining approaches. Extensive updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including substantial new chapters on probabilistic methods and on deep learning. Accompanying the book is a new version of the popular WEKA machine learning software from the University of Waikato. Authors Witten, Frank, Hall, and Pal include today´s techniques coupled with the methods at the leading edge of contemporary research. Please visit the book companion website at contains Powerpoint slides for Chapters 1-12. This is a very comprehensive teaching resource, with many PPT slides covering each chapter of the book Online Appendix on the Weka workbench; again a very comprehensive learning aid for the open source software that goes with the book Table of contents, highlighting the many new sections in the 4th edition, along with reviews of the 1st edition, errata, etc. Provides a thorough grounding in machine learning concepts, as well as practical advice on applying the tools and techniques to data mining projects Presents concrete tips and techniques for performance improvement that work by transforming the input or output in machine learning methods Includes a downloadable WEKA software toolkit, a comprehensive collection of machine learning algorithms for data mining tasks-in an easy-to-use interactive interface Includes open-access online courses that introduce practical applications of the material in the book
Safety of Computer Control Systems 1985 (Safecomp 85): Achieving Safe Real Time Computer Systems presents the proceedings of the Fourth IFAC Workshop, held in Como, Italy, on October 1-3, 1985. This book discusses a wide range of topics ranging from direct process control through robotics to operator assistance. Organized into 28 chapters, this compilation of papers begins with an overview of the implementation of atomic actions by means of concurrent programming constructs. This text then examines the safety-related applications that usually demand the provision of redundant resources within the system. Other chapters consider the safe performance of an industrial robot system that relies on several factors. This book discusses as well the increasing demand for Computer Assisted Decision Making (CADM) both in engineering and service industries. The final chapter deals with the ways of reducing the effects of an error introduced during the design of a program. This book is a valuable resource for software engineers.
Continuing a tradition of excellent training on open source tools, Penetration Testers Open Source Toolkit, Fourth Edition is a great reference to the open source tools available today and teaches you how to use them by demonstrating them in real-world examples. This book expands upon existing documentation so that a professional can get the most accurate and in-depth test results possible. Real-life scenarios are a major focus so that the reader knows which tool to use and how to use it for a variety of situations. This updated edition covers the latest technologies and attack vectors, including industry specific case studies and complete laboratory setup. Great commercial penetration testing tools can be very expensive and sometimes hard to use or of questionable accuracy. This book helps solve both of these problems. The open source, no-cost penetration testing tools presented work as well or better than commercial tools and can be modified by the user for each situation if needed. Many tools, even ones that cost thousands of dollars, do not come with any type of instruction on how and in which situations the penetration tester can best use them. Penetration Testers Open Source Toolkil, Fourth Edition bridges this gap providing the critical information that you need. Details current open source penetration tools Presents core technologies for each type of testing and the best tools for the job New to this edition: expanded wireless pen testing coverage to include Bluetooth, coverage of cloud computing and virtualization, new tools, and the latest updates to tools, operating systems, and techniques Includes detailed laboratory environment setup, new real-world examples, and industry-specific case studies Jeremy Faircloth (CISSP, Security+, CCNA, MCSE, MCP+I, A+) is an IT practitioner with a background in a wide variety of technologies as well as experience managing technical teams at multiple Fortune 50 companies. He is a member of the Society for Technical Communication and frequently acts as a technical resource for other IT professionals through teaching and writing, using his expertise to help others expand their knowledge. Described as a Renaissance man of IT with over 20 years of real-world IT experience, he has become an expert in many areas including Web development, database administration, enterprise security, network design, large enterprise applications, and project management. Jeremy is also an author that has contributed to over a dozen technical books covering a variety of topics and teaches courses on many of those topics.
Essay from the year 2016 in the subject Computer Science - Commercial Information Technology, grade: Distinction / 1,5, University of Bristol, language: English, abstract: The first part of the essay introduces the map application OsmAnd. The main business processes will be outlined using a flow diagram before illustrating the applications value proposition and revenue model. Finally a SWOT-analysis will identify the applications strength to be the deployment of mobile map data, the customisation of map rendering and the ability of trip recording, audio and video notes and OSM editing. The second part of the essay uses a PEST-analysis to identify developing potential in a developing country, which was chosen to be Thailand. In consideration of the identified strengths of OsmAnd, the development of the agricultural sector was chosen for further investigation. A short summary of the current situation of the agribusiness follows. The third part of the essay matches the insights from the SWOT- and PEST-analyses to create a new business model. The model is then outlined in a similar manner as initially OsmAnd. Business processes are outlined with the support of a flow diagram, before the changes in value proposition and revenue model are discussed. The fourth part of the essay sketches potential risks identified during the design process of the new business model and their solution approaches, before concluding that the new model relies on the contribution of the users and the Thai government. Finally it will be recommended that a good stakeholder management will be needed to overcome the threat caused by these dependencies.
Oncology Informatics: Using Health Information Technology to Improve Processes and Outcomes in Cancer Care encapsulates National Cancer Institute-collected evidence into a format that is optimally useful for hospital planners, physicians, researcher, and informaticians alike as they collectively strive to accelerate progress against cancer using informatics tools. This book is a formational guide for turning clinical systems into engines of discovery as well as a translational guide for moving evidence into practice. It meets recommendations from the National Academies of Science to reorient the research portfolio toward providing greater cognitive support for physicians, patients, and their caregivers to improve patient outcomes. Data from systems studies have suggested that oncology and primary care systems are prone to errors of omission, which can lead to fatal consequences downstream. By infusing the best science across disciplines, this book creates new environments of Smart and Connected Health. Oncology Informatics is also a policy guide in an era of extensive reform in healthcare settings, including new incentives for healthcare providers to demonstrate meaningful use of these technologies to improve system safety, engage patients, ensure continuity of care, enable population health, and protect privacy. Oncology Informatics acknowledges this extraordinary turn of events and offers practical guidance for meeting meaningful use requirements in the service of improved cancer care. Anyone who wishes to take full advantage of the health information revolution in oncology to accelerate successes against cancer will find the information in this book valuable. Presents a pragmatic perspective for practitioners and allied health care professionals on how to implement Health I.T. solutions in a way that will minimize disruption while optimizing practice goals Proposes evidence-based guidelines for designers on how to create system interfaces that are easy to use, efficacious, and timesaving Offers insight for researchers into the ways in which informatics tools in oncology can be utilized to shorten the distance between discovery and practice Bradford (Brad) Hesse was appointed Chief of the National Cancer Institutes (NCI) Health Communication and Informatics Research Branch (HCIRB) in November, 2006. He served as the Acting Chief of HCIRB from 2004-2006. Dr. Hesses professional focus is bringing the power of health information technologies to bear on the problem of eliminating death and suffering from cancer, a cause to which he remains steadfastly dedicated. While at the NCI, he has championed several initiatives that evaluate and progress the science of cancer communication and informatics, including the Health Information National Trends Survey (HINTS) and the Centers of Excellence in Cancer Communication (CECCR). As director of NCIs biennial Health Information National Trends Survey (HINTS), Dr. Hesse is responsible for leading a team of scientists in the development and execution of this nationally representative, general population survey of American adults. HINTS, now entering its fourth iteration, systematically evaluates the publics knowledge, attitudes and behaviors relevant to cancer control in an environment of rapidly changing communication technologies. Dr. Hesse also serves as the program director for NCIs Centers of Excellence in Cancer Communication Research (CECCR). This initiative supports the research of four centers aimed at increasing the knowledge of, tools for, access to, and use of cancer communications by the public, patients, survivors, and health professionals. The centers have been instrumental in defining the next generation of interdisciplinary collaboration in cancer communication science. Prior to his work at NCI, Dr. Hesse conducted research in the interdisciplinary fields of human computer interaction, health communication, medical informatics, and computer-supported decision making. In 1988, he served as a postdoctoral member of the Committee for Social Science Research on Computing at Carnegie Mellon University, and subsequently co-founded the Center for Research on Technology at the American Institutes for Research in Palo Alto, California in 1991. Working in a contract environment before coming to NCI, Dr. Hesse directed projects for the Departments of Education and Labor, the Centers for Disease Control and Prevention, and the National Institutes of Health. He has also
Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated fourth edition of the most acclaimed work on data mining and machine learning teaches readers everything they need to know to get going, from preparing inputs, interpreting outputs, evaluating results, to the algorithmic methods at the heart of successful data mining approaches. Extensive updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including substantial new chapters on probabilistic methods and on deep learning. Accompanying the book is a new version of the popular WEKA machine learning software from the University of Waikato. Authors Witten, Frank, Hall, and Pal include todays techniques coupled with the methods at the leading edge of contemporary research. Please visit the book companion website at http://www.cs.waikato.ac.nz/ml/weka/book.html It contains Powerpoint slides for Chapters 1-12. This is a very comprehensive teaching resource, with many PPT slides covering each chapter of the book Online Appendix on the Weka workbench; again a very comprehensive learning aid for the open source software that goes with the book Table of contents, highlighting the many new sections in the 4th edition, along with reviews of the 1st edition, errata, etc. Provides a thorough grounding in machine learning concepts, as well as practical advice on applying the tools and techniques to data mining projects Presents concrete tips and techniques for performance improvement that work by transforming the input or output in machine learning methods Includes a downloadable WEKA software toolkit, a comprehensive collection of machine learning algorithms for data mining tasks-in an easy-to-use interactive interface Includes open-access online courses that introduce practical applications of the material in the book Ian H. Witten is a professor of computer science at the University of Waikato in New Zealand. He directs the New Zealand Digital Library research project. His research interests include information retrieval, machine learning, text compression, and programming by demonstration. He received an MA in Mathematics from Cambridge University, England; an MSc in Computer Science from the University of Calgary, Canada; and a PhD in Electrical Engineering from Essex University, England. He is a fellow of the ACM and of the Royal Society of New Zealand. He has published widely on digital libraries, machine learning, text compression, hypertext, speech synthesis and signal processing, and computer typography. He has written several books, the latest being Managing Gigabytes (1999) and Data Mining (2000), both from Morgan Kaufmann.
This book provides an overview of the techniques central to lattice quantum chromodynamics, including modern developments. The book has four chapters. The first chapter explains the formulation of quarks and gluons on a Euclidean lattice. The second chapter introduces Monte Carlo methods and details the numerical algorithms to simulate lattice gauge fields. Chapter three explains the mathematical and numerical techniques needed to study quark fields and the computation of quark propagators. The fourth chapter is devoted to the physical observables constructed from lattice fields and explains how to measure them in simulations. The book is aimed at enabling graduate students who are new to the field to carry out explicitly the first steps and prepare them for research in lattice QCD.
Distributed Database Systems (DDBS) may be defined as integrated database systems composed of autonomous local databases, geographically distributed and interconnected by a computer network. The purpose of this monograph is to present DDBS concurrency control algorithms and their related performance issues. The most recent results have been taken into consideration. A detailed analysis and selection of these results has been made so as to include those which will promote applications and progress in the field. The application of the methods and algorithms presented is not limited to DDBSs but also relates to centralized database systems and to database machines which can often be considered as particular examples of DDBSs. The first part of the book is devoted to basic definitions and models: the distributed database model, the transaction model and the syntactic and semantic concurrency control models. The second discusses concurrency control methods in monoversion DDBSs: the locking method, the timestamp ordering method, the validation method and hybrid methods. For each method the concept, the basic algorithms, a hierarchical version of the basic algorithms, and methods for avoiding performance failures are given. The third section covers concurrency control methods in multiversion DDBSs and the fourth, methods for the semantic concurrency model. The last part concerns performance issues of DDBSs. The book is intended primarily for DDBMS designers, but is also of use to those who are engaged in the design and management of databases in general, as well as in problems of distributed system management such as distributed operating systems and computer networks.
Iterating Infusion: Clearer Views of Objects, Classes, and Systems is a one-of-a-kind book, not dependent on any single technology. Rather, it provides a way to integrate the most efficient techniques from a variety of programming methods, in a manner that makes designing and programming software look easy. Iterating Infusion presents comprehensive tools for you to best manage and work with object orientation. These include simplified fundamental concepts, popular language comparisons, advanced designing strategies, a broad usage progression, thorough design notations (interaction algebra), and data-oriented (fundamentally-OO) languages. The title, Iterating Infusion , alludes to the fact that any system has multiple, coexisting functional levels and that new levels-both lower and higher-are continually added to the same functional area. The practical effect is to bring processes into focus, always clarifying the vague. The extreme form of this is when separate but compatible technologies are brought together to create advancements; these can be baby-steps or great leaps, with varying amounts of effort. In more general terms, the same thing in a different context can take on much more power. And actually, this phenomenon is at the heart of object-oriented software. Readers have been confirming that, compared to books on just low-level details, Iterating Infusion presents cohesive insights that allow you to solve more problems with the same effort in more key places. Greg Anthony is a systems analyst who has been designing and programming software since he was 8 years old. He has worked in all areas of development and systems management, from PC to midrange to mainframe environments. Throughout his career, Greg has created utilities of all sizes to automate development tasks, especially code generators (fourth-generation tools), code analyzers, version-control facilities, and system software interface redesigns, enabling high-end user-friendliness and efficiency in execution and development. He is an alumnus of the Johns Hopkins Universitys Center for Talented Youth, the landmark organization for children ages 8 to 18.