Levy profiles the imaginative brainiacs who found clever and unorthodox solutions to computer engineering problems. They had a shared sense of values, known as "the hacker ethic," that still thrives today. Hackers captures a seminal period in recent history when underground activities blazed a trail for today's digital world, from MIT students finagling access to clunky computer-card machines to the DIY culture that spawned the Altair and the Apple II.
This monograph aims to provide an overview of the Dark Web landscape, suggest a systematic, computational approach to understanding the problems, and illustrate with selected techniques, methods, and case studies developed by the University of Arizona AI Lab Dark Web team members. This work aims to provide an interdisciplinary and understandable monograph about Dark Web research along three dimensions: methodological issues in Dark Web research; database and computational techniques to support information collection and data mining; and legal, social, privacy, and data confidentiality challenges and approaches. It will bring useful knowledge to scientists, security professionals, counterterrorism experts, and policy makers. The monograph can also serve as a reference material or textbook in graduate level courses related to information security, information policy, information assurance, information systems, terrorism, and public policy.
This textbook provides a comprehensive introduction to forecasting methods and presents enough information about each method for readers to use them sensibly.
The 8 revised full papers presented were carefully reviewed and selected from numerous submissions. Topics of the workshop are information sharing and big data analytics, infrastructure protection and emergency responses, cybercrime and terrorism informatics and analytics, as well as enterprise risk management, IS security and social media analytics. The papers present a significant view on regional data sets and case studies, including online social media and multimedia, fraud deception and text mining.
—Tom Vanderbilt, New York Times bestselling author of Traffic
In Tubes, Andrew Blum, a correspondent at Wired magazine, takes us on an engaging, utterly fascinating tour behind the scenes of our everyday lives and reveals the dark beating heart of the Internet itself. A remarkable journey through the brave new technological world we live in, Tubes is to the early twenty-first century what Soul of a New Machine—Tracy Kidder’s classic story of the creation of a new computer—was to the late twentieth.
SECURITY INFORMATICS is global in scope and perspective. Leading experts will be invited as contributing authors from the US, UK, Denmark, Israel, Singapore, Hong Kong, Taiwan, Europe, etc. It is the first systematic, archival volume treatment of the field; the volume will cover the very latest advances in ISI research and practice. It is organized in four major subject areas: (1) Information and Systems Security, (2) Information Sharing and Analysis in Security Informatics, (3) Infrastructure Protection and Emergency Responses, and (4) National Security and Terrorism Informatics. The volume features high-quality contributions from worldwide leading experts across a variety of discipline domains. Each contribution follows a uniform structure and has undergone a thorough peer-review process.
The book reflects a decade of leading-edge research on intelligence and security informatics from the Artificial Intelligence Laboratory and the NSF COPLINK Center for Homeland Security Information Technology Research. Working in parallel with the research has been its application in real-world community situations by the center’s director and the book’s author, Dr. Hsinchun Chen.
The book’s audience is wide and includes the following: (1) college professors, research scientists, graduate students, and select undergraduate juniors and seniors in computer science, information management, information science, and other related public safety, intelligence analysis, and terrorism research disciplines; (2) researchers, analysts, and policy makers in federal departments, national laboratories, intelligence community, public safety and law enforcement agencies, and the emergency response community; and (3) consultants and practitioners in IT hardware, communication, and software companies, consulting firms, and defence contractors of varying sizes and countries.
The answer is time management. And not just any time management theory--you want Time Management for System Administrators, to be exact. With keen insights into the challenges you face as a sys admin, bestselling author Thomas Limoncelli has put together a collection of tips and techniques that will help you cultivate the time management skills you need to flourish as a system administrator.
Time Management for System Administrators understands that an Sys Admin often has competing goals: the concurrent responsibilities of working on large projects and taking care of a user's needs. That's why it focuses on strategies that help you work through daily tasks, yet still allow you to handle critical situations that inevitably arise.
Among other skills, you'll learn how to:Manage interruptionsEliminate timewastersKeep an effective calendarDevelop routines for things that occur regularlyUse your brain only for what you're currently working onPrioritize based on customer expectationsDocument and automate processes for faster execution
What's more, the book doesn't confine itself to just the work environment, either. It also offers tips on how to apply these time management tools to your social life. It's the first step to a more productive, happier you.
Sports Data Mining brings together in one place the state of the art as it concerns an international array of sports: baseball, football, basketball, soccer, greyhound racing are all covered, and the authors (including Hsinchun Chen, one of the most esteemed and well-known experts in data mining in the world) present the latest research, developments, software available, and applications for each sport. They even examine the hidden patterns in gaming and wagering, along with the most common systems for wager analysis. A full draft TOC is attached.
With combined (NFL; MLB; NBA; NHL) team values in the US running at more than $42 billion (NFL alone was at $33.3 billion in 2008!), and European soccer teams at over $10 billion, professional team sports worldwide is a massive business that is about to experience its first real contraction in over ten years. Combine that with the proven effectiveness -- and growing use -- of statistical analysis to produce winning teams (and thus higher revenues), and then consider the sharp growth in college programs in sports business: an eager market awaits this book in the sports business market alone. It will also appeal to researchers in data mining broadly; the sports statistics service industry that’s developed in the last ten years; and anyone studying any of the pari-mutuel wagering sports around the world.
It will provide an integrated, synthesized, and interdisciplinary analysis of infectious surveillance techniques. It will include statistical modeling techniques, but go beyond statistical modeling to include information systems design, data standards, computational aspects of bio-surveillance, information visualization, and system evaluation.
It will emphasize the practical importance of the area and integrate the material from Public Health, Computer Science, Information Systems, Software Engineering, Public Administration Policy, Geographical Information Systems, etc. into a unified state-of-the-art treatment of syndromic surveillance systems.
By its very nature, infectious disease surveillance is a dynamic, fast-moving field. Therefore the book will provide policy makers and public health practitioners with the most recent research findings, methodologies, and implementation issues from case studies of concrete application scenarios.
We are living in the computer age, in a world increasingly designed and engineered by computer programmers and software designers, by people who call themselves hackers. Who are these people, what motivates them, and why should you care?
Consider these facts: Everything around us is turning into computers. Your typewriter is gone, replaced by a computer. Your phone has turned into a computer. So has your camera. Soon your TV will. Your car was not only designed on computers, but has more processing power in it than a room-sized mainframe did in 1970. Letters, encyclopedias, newspapers, and even your local store are being replaced by the Internet.
Hackers & Painters: Big Ideas from the Computer Age, by Paul Graham, explains this world and the motivations of the people who occupy it. In clear, thoughtful prose that draws on illuminating historical examples, Graham takes readers on an unflinching exploration into what he calls "an intellectual Wild West."
The ideas discussed in this book will have a powerful and lasting impact on how we think, how we work, how we develop technology, and how we live. Topics include the importance of beauty in software design, how to make wealth, heresy and free speech, the programming language renaissance, the open-source movement, digital design, internet startups, and more.
Blending the informed analysis of The Signal and the Noise with the instructive iconoclasm of Think Like a Freak, a fascinating, illuminating, and witty look at what the vast amounts of information now instantly available to us reveals about ourselves and our world—provided we ask the right questions.
By the end of an average day in the early twenty-first century, human beings searching the internet will amass eight trillion gigabytes of data. This staggering amount of information—unprecedented in history—can tell us a great deal about who we are—the fears, desires, and behaviors that drive us, and the conscious and unconscious decisions we make. From the profound to the mundane, we can gain astonishing knowledge about the human psyche that less than twenty years ago, seemed unfathomable.
Everybody Lies offers fascinating, surprising, and sometimes laugh-out-loud insights into everything from economics to ethics to sports to race to sex, gender and more, all drawn from the world of big data. What percentage of white voters didn’t vote for Barack Obama because he’s black? Does where you go to school effect how successful you are in life? Do parents secretly favor boy children over girls? Do violent films affect the crime rate? Can you beat the stock market? How regularly do we lie about our sex lives and who’s more self-conscious about sex, men or women?
Investigating these questions and a host of others, Seth Stephens-Davidowitz offers revelations that can help us understand ourselves and our lives better. Drawing on studies and experiments on how we really live and think, he demonstrates in fascinating and often funny ways the extent to which all the world is indeed a lab. With conclusions ranging from strange-but-true to thought-provoking to disturbing, he explores the power of this digital truth serum and its deeper potential—revealing biases deeply embedded within us, information we can use to change our culture, and the questions we’re afraid to ask that might be essential to our health—both emotional and physical. All of us are touched by big data everyday, and its influence is multiplying. Everybody Lies challenges us to think differently about how we see it and the world.
The 33 papers presented together were carefully reviewed and selected from 43 submissions. The conference focused on topics and issues including medical monitoring and information extraction, clinical and medical data mining, health data analysis and management, big data and smart health, and healthcare intelligent systems and clinical practice.
The book is divided into three major topical sections.
Section I presents the foundational information and knowledge management material and includes topics such as: bioinformatics challenges and standards, security and privacy, ethical and social issues, and biomedical knowledge mapping.
Section II discusses the topics which are relevant to knowledge representations & access and includes topics such as: representations of medical concepts and relationships, genomic information retrieval, 3D medical informatics, public access to anatomic images, and creating and maintaining biomedical ontologies.
Section III examines the emerging application research in data mining, biomedical textual mining, and knowledge discovery research and includes topics such as: semantic parsing and analysis for patient records, biological relationships, gene pathways, and metabolic networks, exploratory genomic data analysis, joint learning using data and text mining, and disease informatics and outbreak detection.
The book is a comprehensive presentation of the foundations and leading application research in medical informatics/biomedicine. These concepts and techniques are illustrated with detailed case studies.
The authors are widely recognized professors and researchers in Schools of Medicine and Information Systems from the University of Arizona, University of Washington, Columbia University, and Oregon Health & Science University. In addition, individual expert contributing authors have been commissioned to write chapters for the book on their respective topical expertise.
The 55 revised full papers presented were carefully reviewed and selected from the presentations at the workshops. The 21 papers of the Pacific Asia Workshop on Intelligence and Security Informatics (PAISI 2008) cover topics such as information retrieval and event detection, internet security and cybercrime, currency and data protection, cryptography, image and video analysis, privacy issues, social networks, modeling and visualization, and network intrusion detection. The Pacific Asia Workshop on Cybercrime and Computer Forensics (PACCF 2008) furnishes 10 papers about forensic information management, forensic technologies, and forensic principles and tools. The 24 papers of the Workshop on Social Computing (SOCO 2008) are organized in topical sections on social web and social information management, social networks and agent-based modeling, as well as social opinions, e-commerce, security and privacy considerations.
A 3D printer transforms digital information into a physical object by carrying out instructions from an electronic design file, or 'blueprint.' Guided by a design file, a 3D printer lays down layer after layer of a raw material to 'print' out an object. That's not the whole story, however. The magic happens when you plug a 3D printer into today’s mind-boggling digital technologies. Add to that the Internet, tiny, low cost electronic circuitry, radical advances in materials science and biotech and voila! The result is an explosion of technological and social innovation.
Fabricated takes the reader onto a rich and fulfilling journey that explores how 3D printing is poised to impact nearly every part of our lives.
Aimed at people who enjoy books on business strategy, popular science and novel technology, Fabricated will provide readers with practical and imaginative insights to the question 'how will this technology change my life?' Based on hundreds of hours of research and dozens of interviews with experts from a broad range of industries, Fabricated offers readers an informative, engaging and fast-paced introduction to 3D printing now and in the future.
If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Today’s messy glut of data holds answers to questions no one’s even thought to ask. This book provides you with the know-how to dig those answers out.Get a crash course in PythonLearn the basics of linear algebra, statistics, and probability—and understand how and when they're used in data scienceCollect, explore, clean, munge, and manipulate dataDive into the fundamentals of machine learningImplement models such as k-nearest Neighbors, Naive Bayes, linear and logistic regression, decision trees, neural networks, and clusteringExplore recommender systems, natural language processing, network analysis, MapReduce, and databases
TERROR INFORMATICS: Knowledge Management and Data Mining for Homeland Security will provide an interdisciplinary and comprehensive survey of the state-of-the-art of terrorism informatics domain along three basic dimensions: methodological issues in terrorism research; information infusion techniques to support terrorism prevention, detection, and response; and legal, social, privacy, and data confidentiality challenges and approaches. The book will bring "knowledge" that can be used by scientists, security professionals, counterterrorism experts, and policy makers.
The book will be organized into three major subject areas:
Part I will focus on the methodological issues in terrorism research. The methodological issues that impact trends, achievements, root causes, and failures in terrorism research will be treated within the context of the methods of retrieving and developing, sharing, and implementing terrorism informatics methodologies and resources. Part II will focus on three major areas of terrorism research: prevention, detection, and established governmental responses to terrorism. This section will systematically examine the current and ongoing research including recent case studies and application of terrorism informatics techniques. Examples of such techniques are web mining, social network analysis, and multimodal event extraction, analysis to the terrorism phenomenon, etc. Part III will present the critical and relevant social/technical areas to terrorism research including social, privacy, data confidentiality, and legal challenges.
Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making.Understand how data science fits in your organization—and how you can use it for competitive advantageTreat data as a business asset that requires careful investment if you’re to gain real valueApproach business problems data-analytically, using the data-mining process to gather good data in the most appropriate wayLearn general concepts for actually extracting knowledge from dataApply data science principles when interviewing data science job candidates
The book has been organized into three parts: Unit 1 covers the international foundations of digital government and related social, public, and legal issues (such as privacy, confidentiality, trust and security) that are evolving from governments’ new ways of doing business. Unit 2 examines current IT research that is impacting the advancement of digital government purposes and initiatives. In this section, a wide range of technologies are discussed with the objective of outlining a framework of state-of-the-art technologies showing the most promise for e-government initiatives. Unit 3 highlights case studies and applications of successful e-government initiatives from around the world which have wider lessons and implications. High impact projects are explored in detail, with a "lessons learned" discussion included with each case study. Each chapter is accompanied by references, suggested additional readings, online resources, and questions for discussion.
The book’s audience is broad and includes: (1) faculty, researchers, graduate students and select undergraduate students in information sciences, information management, computer science, public policy, political science and other disciplines concerned with the functions of government and the public sector; (2) managers, administrators, and IT specialists in federal, state and local agencies with an interest in e-government initiatives and strategies; and (3) consultants and practitioners in IT, communications, data and information management, e-government, and program management who may be working or collaborating on e-government projects.
Social network analysis (SNA) is a discipline that predates Facebook and Twitter by 30 years. Through expert SNA researchers, you'll learn concepts and techniques for recognizing patterns in social media, political groups, companies, cultural trends, and interpersonal networks. You'll also learn how to use Python and other open source tools—such as NetworkX, NumPy, and Matplotlib—to gather, analyze, and visualize social data. This book is the perfect marriage between social network theory and practice, and a valuable source of insight and ideas.Discover how internal social networks affect a company’s ability to performFollow terrorists and revolutionaries through the 1998 Khobar Towers bombing, the 9/11 attacks, and the Egyptian uprisingLearn how a single special-interest group can control the outcome of a national electionExamine relationships between companies through investment networks and shared boards of directorsDelve into the anatomy of cultural fads and trends—offline phenomena often mediated by Twitter and Facebook
Conversion Optimization offers practical advice on how to persuade visitors to make a buying decision -- without driving them away through data overload or tedious navigation. You'll learn how to use marketing principles, design, usability, and analytics on your site to increase your buyer-to-visitor ratio, whether you're involved with marketing or designing a large ecommerce site, or managing a modest online operation.
Based on the authors' broad experience in helping businesses attract online customers, this book addresses every aspect of the process, from landing visitors to finalizing the sale. You'll learn several techniques for blending successful sales approaches with the particular needs of the people you want to attract. Are you ready to do what it takes to get a double-digit conversion rate?Explore case studies involving significant conversion rate improvementsWalk through different stages of a sale and understand the value of eachUnderstand your website visitors through persona creationConnect with potential customers and guide them toward a conversionLearn how to deal with FUDs -- customer fears, uncertainties, and doubtsExamine the path that visitors take from landing page to checkoutTest any change you make against your original design
"The Web is unique in its ability to deliver this almost improbable win-win: You can increase revenue AND make your customers happy. Yet most websites stink. Worry not, Khalid and Ayat to the rescue! Buy this book to follow their practical advice on how to create high converting websites that your visitors love."--Avinash Kaushik, author of Web Analytics 2.0 and Web Analytics: An Hour A Day (both Sybex)
Part history, part guidebook, part prediction for the future, Targeted tells the story of the companies, individuals, and innovations driving this revolution. It takes readers behind the scenes—examining the growth of digital advertising, its enormous potential, and the technologies that are changing the game forever. Leading the way is real-time bidding, which offers advertisers unprecedented precision in targeting ads and measuring their effectiveness.
From keyword micro-markets and ad serving systems to aggregated virtual audiences and new business models, Targeted is sweeping in scope and stripped of technical complexity. It is an essential resource for anyone interested in finding and connecting with customers in the vast and shifting Internet universe.
If you want to find out how to use Python to start answering critical questions of your data, pick up Python Machine Learning – whether you want to get started from scratch or want to extend your data science knowledge, this is an essential and unmissable resource.What You Will LearnExplore how to use different machine learning models to ask different questions of your dataLearn how to build neural networks using Keras and TheanoFind out how to write clean and elegant Python code that will optimize the strength of your algorithmsDiscover how to embed your machine learning model in a web application for increased accessibilityPredict continuous target outcomes using regression analysisUncover hidden patterns and structures in data with clusteringOrganize data using effective pre-processing techniquesGet to grips with sentiment analysis to delve deeper into textual and social media dataIn Detail
Machine learning and predictive analytics are transforming the way businesses and other organizations operate. Being able to understand trends and patterns in complex data is critical to success, becoming one of the key strategies for unlocking growth in a challenging contemporary marketplace. Python can help you deliver key insights into your data – its unique capabilities as a language let you build sophisticated algorithms and statistical models that can reveal new perspectives and answer key questions that are vital for success.
Python Machine Learning gives you access to the world of predictive analytics and demonstrates why Python is one of the world's leading data science languages. If you want to ask better questions of data, or need to improve and extend the capabilities of your machine learning systems, this practical data science book is invaluable. Covering a wide range of powerful Python libraries, including scikit-learn, Theano, and Keras, and featuring guidance and tips on everything from sentiment analysis to neural networks, you'll soon be able to answer some of the most important questions facing you and your organization.Style and approach
Python Machine Learning connects the fundamental theoretical principles behind machine learning to their practical application in a way that focuses you on asking and answering the right questions. It walks you through the key elements of Python and its powerful machine learning libraries, while demonstrating how to get to grips with a range of statistical models.
The example code for this unique data science book is maintained in a public GitHub repository. It’s designed to be easily accessible through a turnkey virtual machine that facilitates interactive learning with an easy-to-use collection of IPython Notebooks.
Updated to reflect recent advances in MySQL and InnoDB performance, features, and tools, this third edition not only offers specific examples of how MySQL works, it also teaches you why this system works as it does, with illustrative stories and case studies that demonstrate MySQL’s principles in action. With this book, you’ll learn how to think in MySQL.Learn the effects of new features in MySQL 5.5, including stored procedures, partitioned databases, triggers, and viewsImplement improvements in replication, high availability, and clusteringAchieve high performance when running MySQL in the cloudOptimize advanced querying features, such as full-text searchesTake advantage of modern multi-core CPUs and solid-state disksExplore backup and recovery strategies—including new tools for hot online backups
The second edition focuses on Drupal 7, the latest version of this open source system. Each project spans an entire chapter, with step-by-step "recipes" to help you build out the precise functionality the site requires. With this book, developers new to Drupal will gain experience through a hands-on introduction, and experienced Drupal developers will learn real-world best practices.Learn Drupal’s concepts and building blocks, and how everything works togetherHit the ground running—build your first Drupal site hands-onExplore solutions that meet each project’s requirements, and discover why specific modules were selectedUnderstand the projects through case studies, including the client’s needs and desiresLearn how to configure modules with a bird’s-eye view of how they workDiscover new modules, including Drupal Commerce, Media, and Workbench
The network has become the core organizational structure for postmodern politics, culture, and life, replacing the modern era’s hierarchical systems. From peer-to-peer file sharing and massive multiplayer online games to contagion vectors of digital or biological viruses and global affiliations of terrorist organizations, the network form has become so invasive that nearly every aspect of contemporary society can be located within it.
Borrowing their title from the hacker term for a program that takes advantage of a flaw in a network system, Alexander R. Galloway and Eugene Thacker challenge the widespread assumption that networks are inherently egalitarian. Instead, they contend that there exist new modes of control entirely native to networks, modes that are at once highly centralized and dispersed, corporate and subversive.
In this provocative book-length essay, Galloway and Thacker argue that a whole new topology must be invented to resist and reshape the network form, one that is as asymmetrical in relationship to networks as the network is in relation to hierarchy.
Alexander R. Galloway is associate professor of culture and communications at New York University and the author of Gaming: Essays on Algorithmic Culture (Minnesota, 2006) and Protocol: How Control Exists after Decentralization.
Eugene Thacker is associate professor of new media at the Georgia Institute of Technology and the author of Biomedia (Minnesota, 2004) and The Global Genome: Biotechnology, Politics, and Culture.
This book is a compilation of three short guides—Planning Drupal Projects, Design and Prototyping for Drupal, and Drupal Development Tricks for Designers—plus exclusive "director’s material." If you’re familiar with HTML and CSS, but struggling with Drupal’s learning curve, this is the book you’ve been looking for.Get extra material, including an expanded Grids chapter, more recommended modules, and a Short Form Project planLearn how to work user-centered design practices into Drupal projectsChoose the right modules for your project, and discover several go-to modulesUse strategies for sketching, wireframing, and designing effective layoutsManage Drupal’s markup, including code generated by the powerful Views moduleLearn how to work with Drupal on the command lineSet up your development environment and collaborate with other designers and developersLearn the basics of Git, the free open source version control system