Download or read book Email Spam Filtering written by Gordon V. Cormack and published by Now Publishers Inc. This book was released on 2008 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt: Email Spam Filtering: A Systematic Review surveys current and proposed spam filtering techniques with particular emphasis on how well they work. The primary focus is on spam filtering in email, while similarities and differences with spam filtering in other communication and storage media - such as instant messaging and the Web - are addressed peripherally. Email Spam Filtering: A Systematic Review examines the definition of spam, the user's information requirements and the role of the spam filter as one component of a large and complex information universe. Well known methods are detailed sufficiently to make the exposition self-contained; however, the focus is on considerations unique to spam. Comparisons, wherever possible, use common evaluation measures and control for differences in experimental setup. Such comparisons are not easy, as benchmarks, measures and methods for evaluating spam filters are still evolving. The author surveys these efforts, their results and their limitations. In spite of recent advances in evaluation methodology, many uncertainties (including widely held but unsubstantiated beliefs) remain as to the effectiveness of spam filtering techniques and as to the validity of spam filter evaluation methods. Email Spam Filtering: A Systematic Review outlines several uncertainties and proposes experimental methods to address them. Email Spam Filtering: A Systematic Review is a highly recommended read for anyone conducting research in the area or charged with controlling spam in a corporate environment.
Download or read book Machine Learning for Email written by Drew Conway and published by "O'Reilly Media, Inc.". This book was released on 2011-10-25 with total page 145 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you’re an experienced programmer willing to crunch data, this concise guide will show you how to use machine learning to work with email. You’ll learn how to write algorithms that automatically sort and redirect email based on statistical patterns. Authors Drew Conway and John Myles White approach the process in a practical fashion, using a case-study driven approach rather than a traditional math-heavy presentation. This book also includes a short tutorial on using the popular R language to manipulate and analyze data. You’ll get clear examples for analyzing sample data and writing machine learning programs with R. Mine email content with R functions, using a collection of sample files Analyze the data and use the results to write a Bayesian spam classifier Rank email by importance, using factors such as thread activity Use your email ranking analysis to write a priority inbox program Test your classifier and priority inbox with a separate email sample set
Download or read book Advances in Electronics Communication and Computing written by Akhtar Kalam and published by Springer. This book was released on 2017-10-27 with total page 808 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a compilation of research work in the interdisciplinary areas of electronics, communication, and computing. This book is specifically targeted at students, research scholars and academicians. The book covers the different approaches and techniques for specific applications, such as particle-swarm optimization, Otsu’s function and harmony search optimization algorithm, triple gate silicon on insulator (SOI)MOSFET, micro-Raman and Fourier Transform Infrared Spectroscopy (FTIR) analysis, high-k dielectric gate oxide, spectrum sensing in cognitive radio, microstrip antenna, Ground-penetrating radar (GPR) with conducting surfaces, and digital image forgery detection. The contents of the book will be useful to academic and professional researchers alike.
Download or read book Doing Data Science written by Cathy O'Neil and published by "O'Reilly Media, Inc.". This book was released on 2013-10-09 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: Now that people are aware that data can make the difference in an election or a business model, data science as an occupation is gaining ground. But how can you get started working in a wide-ranging, interdisciplinary field that’s so clouded in hype? This insightful book, based on Columbia University’s Introduction to Data Science class, tells you what you need to know. In many of these chapter-long lectures, data scientists from companies such as Google, Microsoft, and eBay share new algorithms, methods, and models by presenting case studies and the code they use. If you’re familiar with linear algebra, probability, and statistics, and have programming experience, this book is an ideal introduction to data science. Topics include: Statistical inference, exploratory data analysis, and the data science process Algorithms Spam filters, Naive Bayes, and data wrangling Logistic regression Financial modeling Recommendation engines and causality Data visualization Social networks and data journalism Data engineering, MapReduce, Pregel, and Hadoop Doing Data Science is collaboration between course instructor Rachel Schutt, Senior VP of Data Science at News Corp, and data science consultant Cathy O’Neil, a senior data scientist at Johnson Research Labs, who attended and blogged about the course.
Download or read book Ending Spam written by Jonathan A. Zdziarski and published by No Starch Press. This book was released on 2005 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explains how spam works, how network administrators can implement spam filters, or how programmers can develop new remarkably accurate filters using language classification and machine learning. Original. (Advanced)
Download or read book Fighting Spam For Dummies written by John R. Levine and published by John Wiley & Sons. This book was released on 2007-05-09 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you have e-mail, you have spam—that annoying electronic junk mail that jams your inbox, sometimes makes you blush, and takes a lot of the fun out of your online experience. Spam wastes thousands of hours and costs you, the recipient of the stuff you don’t want, thousands of dollars in increased costs that your Internet service provider eventually passes along to you. In fact, a European survey in 2001 revealed that spam costs about $9.4 billion each year! Spammers spam because they’re not paying for it, you are. The good news is, you can fight back, and Fighting Spam For Dummies tells you how. Find out Where spam comes from How to set up spam filters How folders help filter out spam What additional programs can help Where—and how—to report spam How best to lobby for spam control You’ll get the plai n-English explanation for activating any additional protection offered by your ISP, and discover how to make the best use of any spam filter that came with your e-mail program. Fighting Spam For Dummies will arm you with information about Making your address harder for spammers to grab Why simply hitting “delete” isn’t enough Tracking down the source of the spam What you can learn from e-mail headers How spam filters work—and why they aren’t foolproof Setting up the maximum level of filtration for your e-mail program and ISP What information your ISP needs when you report spam How—and how not—to complain Adding protection with POPFile Ways to protect your clients if you’re a network administrator The ultimate solution to spam has yet to be found, but these Internet-savvy authors give you the tools to help level the playing field. They also offer some solid suggestions for anti-spam laws and how you can join the war on spam.
Download or read book Artificial Intelligence and Data Mining Approaches in Security Frameworks written by Neeraj Bhargava and published by John Wiley & Sons. This book was released on 2021-08-24 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: ARTIFICIAL INTELLIGENCE AND DATA MINING IN SECURITY FRAMEWORKS Written and edited by a team of experts in the field, this outstanding new volume offers solutions to the problems of security, outlining the concepts behind allowing computers to learn from experience and understand the world in terms of a hierarchy of concepts, with each concept defined through its relation to simpler concepts. Artificial intelligence (AI) and data mining is the fastest growing field in computer science. AI and data mining algorithms and techniques are found to be useful in different areas like pattern recognition, automatic threat detection, automatic problem solving, visual recognition, fraud detection, detecting developmental delay in children, and many other applications. However, applying AI and data mining techniques or algorithms successfully in these areas needs a concerted effort, fostering integrative research between experts ranging from diverse disciplines from data science to artificial intelligence. Successful application of security frameworks to enable meaningful, cost effective, personalized security service is a primary aim of engineers and researchers today. However realizing this goal requires effective understanding, application and amalgamation of AI and data mining and several other computing technologies to deploy such a system in an effective manner. This book provides state of the art approaches of artificial intelligence and data mining in these areas. It includes areas of detection, prediction, as well as future framework identification, development, building service systems and analytical aspects. In all these topics, applications of AI and data mining, such as artificial neural networks, fuzzy logic, genetic algorithm and hybrid mechanisms, are explained and explored. This book is aimed at the modeling and performance prediction of efficient security framework systems, bringing to light a new dimension in the theory and practice. This groundbreaking new volume presents these topics and trends, bridging the research gap on AI and data mining to enable wide-scale implementation. Whether for the veteran engineer or the student, this is a must-have for any library. This groundbreaking new volume: Clarifies the understanding of certain key mechanisms of technology helpful in the use of artificial intelligence and data mining in security frameworks Covers practical approaches to the problems engineers face in working in this field, focusing on the applications used every day Contains numerous examples, offering critical solutions to engineers and scientists Presents these new applications of AI and data mining that are of prime importance to human civilization as a whole
Download or read book Handling Priority Inversion in Time Constrained Distributed Databases written by Shanker, Udai and published by IGI Global. This book was released on 2020-02-14 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the computer science industry, high levels of performance remain the focal point in software engineering. This quest has made current systems exceedingly complex, as practitioners strive to discover novel approaches to increase the capabilities of modern computer structures. A prevalent area of research in recent years is scalable transaction processing and its usage in large databases and cloud computing. Despite its popularity, there remains a need for significant research in the understanding of scalability and its performance within distributed databases. Handling Priority Inversion in Time-Constrained Distributed Databases provides emerging research exploring the theoretical and practical aspects of database transaction processing frameworks and improving their performance using modern technologies and algorithms. Featuring coverage on a broad range of topics such as consistency mechanisms, real-time systems, and replica management, this book is ideally designed for IT professionals, computing specialists, developers, researchers, data engineers, executives, academics, and students seeking research on current trends and developments in distributed computing and databases.
Download or read book Implementing Computational Intelligence Techniques for Security Systems Design written by Albastaki, Yousif Abdullatif and published by IGI Global. This book was released on 2020-02-14 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recently, cryptology problems, such as designing good cryptographic systems and analyzing them, have been challenging researchers. Many algorithms that take advantage of approaches based on computational intelligence techniques, such as genetic algorithms, genetic programming, and so on, have been proposed to solve these issues. Implementing Computational Intelligence Techniques for Security Systems Design is an essential research book that explores the application of computational intelligence and other advanced techniques in information security, which will contribute to a better understanding of the factors that influence successful security systems design. Featuring a range of topics such as encryption, self-healing systems, and cyber fraud, this book is ideal for security analysts, IT specialists, computer engineers, software developers, technologists, academicians, researchers, practitioners, and students.
Download or read book Hierarchical E Mail Spam Filtering Using Ai and Data Mining Techniques written by Ismail M. Khater and published by LAP Lambert Academic Publishing. This book was released on 2012-02 with total page 112 pages. Available in PDF, EPUB and Kindle. Book excerpt: Email spam continues to be a major problem in the Internet. With the spread of malware combined with the power of botnets, spammers are now able to launch large scale spam campaigns covering wide range of topics causing major traffic increase and leading to enormous economical loss. There have been great research efforts to combat email spam. However, a major problem in most email spam filters is that they may result in filtering some legitimate emails. Such a problem could be prohibitively expensive in practice especially if the misclassified email is of a great importance to the recipient. For this reason, it is important to build an email spam filter that is capable of efficiently filtering spam while minimizing collateral damage. Since header-based and content-based email spam filtering are the two main approaches for email spam filtering, we propose to combine both approaches (i.e., header-based and content-based) in such a way that achieve the best of both worlds. That is to build fast, efficient and highly accurate email spam classifier. In particular, we propose a Hierarchical E-mail Spam Filtering (HESF) system that is composed of two main phases.
Download or read book Mastering Office 365 Administration written by Thomas Carpe and published by Packt Publishing Ltd. This book was released on 2018-05-22 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt: Leverage Office 365 to increase your organization's efficiency Key Features Perform common to advanced-level management and administrative tasks for your organization with Office 365 Become an Office 365 generalist who can work with the entire stack—not just specific products An advanced-level guide that will teach you to implement enterprise-level services into your organization, no matter the size of the business Book Description In today's world, every organization aims to migrate to the cloud in order to become more efficient by making full use of the latest technologies. Office 365 is your one-stop solution to making your organization reliable, scalable, and fast. This book will start with an overview of Office 365 components, and help you learn how to use the administration portal, and perform basic administration. It then goes on to cover common management tasks, such as managing users, admin roles, groups, securing Office 365, and enforcing compliance. In the next set of chapters, you will learn about topics including managing Skype for Business Online, Yammer, OneDrive for Business, and Microsoft Teams. In the final section of the book, you will learn how to carry out reporting and monitor Office 365 service health. By the end of this book, you will be able to implement enterprise-level services with Office 365 based on your organization's needs. What you will learn Understand the vast Office 365 feature set Understand how workloads and applications interact and integrate with each other Connect PowerShell to various Office 365 services and perform tasks Manage Skype for Business Online Get support and monitor Office 365 service health Manage and administer identities and groups efficiently Who this book is for This book targets architects, sys admins, engineers, and administrators who are working with Office 365 and are responsible for configuring, implementing, and managing Office 365 in their organization. A prior knowledge of Office 365 and Exchange servers is mandatory.
Download or read book Computer and Information Sciences ISCIS 2004 written by Cevdet Aykanat and published by Springer Science & Business Media. This book was released on 2004-10-14 with total page 1027 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 19th International Symposium on Computer and Information Sciences, ISCIS 2004, held in Kemer-Antalya, Turkey in October 2004. The 99 revised full papers presented together with an invited paper were carefully reviewed and selected from 335 submissions. The papers are organized in topical sections on artificial intelligence and machine learning, computer graphics and user interfaces, computer networks and security, computer vision and image processing, database systems, modeling and performance evaluation, natural language processing, parallel and distributed computing, real-time control applications, software engineering and programming, and theory of computing.
Download or read book Using Microsoft Outlook 2000 written by Gordon Padwick and published by Que Publishing. This book was released on 1999 with total page 1494 pages. Available in PDF, EPUB and Kindle. Book excerpt: Special Edition Using Microsoft Outlook 2000 provides all the information a user, administrator, or programmer needs to maximize their use of Microsoft Outlook 2000. While the book quickly covers the basics of Outlook, it focuses with much greater intensity on advanced information, contact, calendar, and e-mail management techniques -- for both the Internet E-mail Only version of Outlook as well as the Corporate/Workgroup variation. The book covers in great detail the use of Outlook on a LAN as a client for Microsoft Exchange Server, Microsoft Mail, and cc:Mail, and it offers expert advice on a multitude of ways to customize Outlook for maximum personal productivity. Special Edition Using Microsoft Outlook 2000 also includes an entire section on developing Outlook-based applications with custom fields, custom forms, VBScript, and other Office applications.
Download or read book Advanced Image Based Spam Detection and Filtering Techniques written by Dhavale, Sunita Vikrant and published by IGI Global. This book was released on 2017-03-10 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: Security technologies have advanced at an accelerated pace in the past few decades. These advancements in cyber security have benefitted many organizations and companies interested in protecting their virtual assets. Advanced Image-Based Spam Detection and Filtering Techniques provides a detailed examination of the latest strategies and methods used to protect against virtual spam. Featuring comprehensive coverage across a range of related topics such as image filters, optical character recognition, fuzzy inference systems, and near-duplicate detection, this book is an ideal reference source for engineers, business managers, professionals, and researchers seeking innovative technologies to aid in spam recognition.
Download or read book Using Case based Reasoning for Spam Filtering written by and published by . This book was released on 2003 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Pam is a universal problem with which everyone is familiar. Figures published in 2005 state that about 75% of all email sent today is spam. In spite of significant new legal and technical approaches to combat it, spam remains a big problem that is costing companies meaningful amounts of money in lost productivity, clogged email systems, bandwidth and technical support. A number of approaches are used to combat spam including legislative measures, authentication approaches and email filtering. The most common filtering technique is content-based filtering which uses the actual text of the message to determine whether it is spam or not. One of the main challenges of content based spam filtering is concept drift; the concept or the characteristics used by the filter to identify spam email are constantly changing over time. Concept drift is very evident in email and spam, in part due to the arms race that exists between spammers and the filter producers. The spammers continually change the content and structure of the spam emails as the filters are modified to catch them. In this thesis we present Email Classification Using Examples (ECUE) a content based approach to spam filtering that can handle the concept drift inherent in spam email. We apply the machine learning technique of case-based reasoning which models the email as cases in a knowledge-base or case-base. The approach used in ECUE involves two components; a case-base editing stage and a case-base update policy. We present a new technique for case-base editing called Competence-Based Editing which uses the competence properties of the cases in the case-base to determine which cases are harmful to the predictive power of the case-base and should be removed. The update policy allows new examples of spam and legitimate emails to be added to the case-base as they are encountered allowing ECUE to track the concept drift. We compare the case-based approach to an ensemble approach which is a more standard technique f.
Download or read book Sally s Baking Addiction written by Sally McKenney and published by Race Point Publishing. This book was released on 2016-10-11 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: Updated with a brand-new selection of desserts and treats, the fully illustrated Sally's Baking Addiction cookbook offers more than 80 scrumptious recipes for indulging your sweet tooth—featuring a chapter of healthier dessert options, including some vegan and gluten-free recipes. It's no secret that Sally McKenney loves to bake. Her popular blog, Sally's Baking Addiction, has become a trusted source for fellow dessert lovers who are also eager to bake from scratch. Sally's famous recipes include award-winning Salted Caramel Dark Chocolate Cookies, No-Bake Peanut Butter Banana Pie, delectable Dark Chocolate Butterscotch Cupcakes, and yummy Marshmallow Swirl S'mores Fudge. Find tried-and-true sweet recipes for all kinds of delicious: Breads & Muffins Breakfasts Brownies & Bars Cakes, Pies & Crisps Candy & Sweet Snacks Cookies Cupcakes Healthier Choices With tons of simple, easy-to-follow recipes, you get all of the sweet with none of the fuss! Hungry for more? Learn to create even more irresistible sweets with Sally’s Candy Addiction and Sally’s Cookie Addiction.
Download or read book Machine Learning in Cyber Trust written by Jeffrey J. P. Tsai and published by Springer Science & Business Media. This book was released on 2009-04-05 with total page 367 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many networked computer systems are far too vulnerable to cyber attacks that can inhibit their functioning, corrupt important data, or expose private information. Not surprisingly, the field of cyber-based systems is a fertile ground where many tasks can be formulated as learning problems and approached in terms of machine learning algorithms. This book contains original materials by leading researchers in the area and covers applications of different machine learning methods in the reliability, security, performance, and privacy issues of cyber space. It enables readers to discover what types of learning methods are at their disposal, summarizing the state-of-the-practice in this significant area, and giving a classification of existing work. Those working in the field of cyber-based systems, including industrial managers, researchers, engineers, and graduate and senior undergraduate students will find this an indispensable guide in creating systems resistant to and tolerant of cyber attacks.
