Dark Data

The University of Arizona Artificial Intelligence Lab (AI Lab) Dark Web project is a long-term scientific research program that aims to study and understand the international terrorism (Jihadist) phen

●暗數據相當於宇宙中的暗物質、金融界的「黑池」、網路世界的「暗網」，都是不易察覺的事物，但觀察不到，不代表不存在；而觀察得到的東西，也不等於「全部」，尤其是數據。●大數據就像漫畫，以簡單幾筆，補捉基本的輪廓，簡化了很多細節。忽略的資訊或數據可能鬧出人命、釀成災害，甚至讓經濟體、社會崩解，生命毀滅。大數據時代必讀的暗數據解析大作。「只因為沒有人在森林裡聽見樹倒了，不代表樹沒發出聲音。」我們都習慣看向

In view of the 2016 US election season, the second edition of this book analyzes the way political campaigns have been traditionally run and the extraordinary changes that have occurred since 2012. De

In view of the 2016 US election season, the second edition of this book analyzes the way political campaigns have been traditionally run and the extraordinary changes that have occurred since 2012. De

Since the 2008 financial crisis, researchers and policy makers have been looking to empirical data to distil both what happened and how a similar event can be avoided in the future. In Lit and Dark Li

Disrupting Dark Networks focuses on how social network analysis can be used to craft strategies to track, destabilize and disrupt covert and illegal networks. The book begins with an overview of the key terms and assumptions of social network analysis and various counterinsurgency strategies. The next several chapters introduce readers to algorithms and metrics commonly used by social network analysts. They provide worked examples from four different social network analysis software packages (UCINET, NetDraw, Pajek and ORA) using standard network data sets as well as data from an actual terrorist network that serves as a running example throughout the book. The book concludes by considering the ethics of and various ways that social network analysis can inform counterinsurgency strategizing. By contextualizing these methods in a larger counterinsurgency framework, this book offers scholars and analysts an array of approaches for disrupting dark networks.

Disrupting Dark Networks focuses on how social network analysis can be used to craft strategies to track, destabilize and disrupt covert and illegal networks. The book begins with an overview of the key terms and assumptions of social network analysis and various counterinsurgency strategies. The next several chapters introduce readers to algorithms and metrics commonly used by social network analysts. They provide worked examples from four different social network analysis software packages (UCINET, NetDraw, Pajek and ORA) using standard network data sets as well as data from an actual terrorist network that serves as a running example throughout the book. The book concludes by considering the ethics of and various ways that social network analysis can inform counterinsurgency strategizing. By contextualizing these methods in a larger counterinsurgency framework, this book offers scholars and analysts an array of approaches for disrupting dark networks.

Goodness may appear in many forms; evil need only take one.The Chicago PD Deviant Data Unit specializes in the dark and cruel aspects of criminal behavior. When a serial killer who leaves his victims

A Canadian astronomer commits suicide on a desolate mountain peak in Hawaii, and Morgan O'Brien is sent to the observatory to find his missing data. But it seems she's not the only one who needs those

What are the principles behind intelligent systems? How are they built? What are intelligent systems useful for? How do we choose the right tool for the job? These questions are answered by Michael Negnevitsky’s Artificial Intelligence: A Guide to Intelligent Systems.Unlike many books on computer intelligence, which use complex computer science terminology and are crowded with complex matrix algebra and differential equations, this text demonstrates that the ideas behind intelligent systems are simple and straightforward. This text assumes little or no programming experience as it tackles topics like expert systems, fuzzy systems, artificial neural networks, evolutionary computation, knowledge engineering, and data mining.TABLE OF CONTENTS1. Introduction to Intelligent Systems 1.1 Intelligent Machines, or What Machines Can Do 1.2 The History of Artificial Intelligence, or From the ‘Dark Ages’ to Knowledge-based Systems 1.3 Generative AI 1.4 Summary Questions fo

John David Anderson returns with the conclusion to the epic coming-of-age adventure that began in Stowaway―a riveting and heartfelt search for hope and home, family and future, in a galaxy ravaged by war.Leo Fender is no stranger to catastrophe, whether it’s the intergalactic war that took his mother’s life or the ongoing fight for his own. He’s seen his planet plundered, his ship attacked, his father kidnapped, and his brother go missing―and found himself stranded on a ship with a bunch of mercenary space pirates. Still, nothing could have prepared him for the moment he and the crew tried to save his father―and discovered a dark plot that could destroy hundreds of worlds in the blink of an eye.Now, Leo is adrift. His father has sent him on a mission with nothing but a data chip and a name of someone who could help, and Captain Bastian Black and the crew of the Icarus are determined to see this through to the end with Leo, to fulfill his father’s wish and prevent further conflict. But

Personal debt remains an important factor in many economic models because it encourages people to use debt to finance consumption. Whether this model is sustainable for individuals or the countries in which they reside is an ongoing question of great complexity and many social and economic implications, not only for the burdened individuals and their countries, but also for the EU as a whole. In Personal Debt in Europe, Federico Ferretti and Daniela Vandone examine the 'dark side' of personal debt, or over-indebtedness, in social and economic terms, and legal terms. They employ cross-country consumer-level data to present the latest empirical studies on the problem, analyse these findings to better understand its nature and causes, and discuss the merits of proposed insolvency legislation and harmonisation initiatives in the EU.

Galactic dynamics is fundamental to understanding the formation of galaxies, their internal evolution and their current structure. While galactic dynamics has traditionally focused on the evolution of the stellar components of galaxies, studies over the past two decades have shown that all aspects of galaxy evolution are strongly influenced by the interplay between the dynamics of stars, gas, and dark matter. IAU Symposium 353, is the first major symposium in more than a decade focused on the dynamics of galaxies and stellar systems, covering the recent explosion in the availability of kinematical data both for individual stars in the Milky Way and wide field line-of-sight kinematics for large samples of external galaxies. These proceedings describe recent developments that aim to transform our understanding of the dynamics, structure, formation and evolution of our own host galaxy, the Milky Way, as well as galaxies in the universe at large.

Present-day elliptical, spiral and irregular galaxies are large systems made of stars, gas and dark matter. Their properties result from a variety of physical processes that have occurred during the nearly fourteen billion years since the Big Bang. This comprehensive textbook, which bridges the gap between introductory and specialized texts, explains the key physical processes of galaxy formation, from the cosmological recombination of primordial gas to the evolution of the different galaxies that we observe in the Universe today. In a logical sequence, the book introduces cosmology, illustrates the properties of galaxies in the present-day Universe, then explains the physical processes behind galaxy formation in the cosmological context, taking into account the most recent developments in this field. The text ends on how to find distant galaxies with multi-wavelength observations, and how to extract the physical and evolutionary properties based on imaging and spectroscopic data.

Pyrooz and Decker pull apart the bars on prison gangs to uncover how they compete for control. While there is much speculation about these gangs, there is little solid research. This book draws on interviews with 802 inmates - half of whom were gang members - in two Texas prisons; one of the largest samples of its kind. Using this data, the authors explore how gangs organize and govern, who joins gangs and how they get out, the dark side of gang activities including misconduct and violence, the ways in which gang membership spills onto the street, and the direct and indirect links between the street and prison gangs. Competing for Control captures the nature of gangs in a time of transition, as prison gangs become more horizontal and their power is diffused across groups. There is no study like this one.

Pyrooz and Decker pull apart the bars on prison gangs to uncover how they compete for control. While there is much speculation about these gangs, there is little solid research. This book draws on interviews with 802 inmates - half of whom were gang members - in two Texas prisons; one of the largest samples of its kind. Using this data, the authors explore how gangs organize and govern, who joins gangs and how they get out, the dark side of gang activities including misconduct and violence, the ways in which gang membership spills onto the street, and the direct and indirect links between the street and prison gangs. Competing for Control captures the nature of gangs in a time of transition, as prison gangs become more horizontal and their power is diffused across groups. There is no study like this one.

Personal debt remains an important factor in many economic models because it encourages people to use debt to finance consumption. Whether this model is sustainable for individuals or the countries in which they reside is an ongoing question of great complexity and many social and economic implications, not only for the burdened individuals and their countries, but also for the EU as a whole. In Personal Debt in Europe, Federico Ferretti and Daniela Vandone examine the 'dark side' of personal debt, or over-indebtedness, in social and economic terms, and legal terms. They employ cross-country consumer-level data to present the latest empirical studies on the problem, analyse these findings to better understand its nature and causes, and discuss the merits of proposed insolvency legislation and harmonisation initiatives in the EU.

Technology has fractured democracy, and now there's no going back. All around the world, the fringes have stormed the palace of the elites and unleashed data miners, dark ads and bots on an unwittin

The fifth edition of The Cosmos: Astronomy in the New Millennium provides you with the fundamentals of astronomical knowledge that have been built up over decades, with an expanded discussion of the incredible advances that are now taking place in this fast-paced field, such as New Horizons' flyby of Pluto, exoplanets, 'dark matter', and the direct detection of gravitational waves by the Laser Interferometer Gravitational-Wave Observatory (LIGO). Written in a clear and easily understandable style, this textbook has been thoroughly revised to include updated data and figures, new images from recent space missions and telescopes, the latest discoveries on supernovae, and new observations of the region around the four-million-solar-mass black hole at the center of our Milky Way Galaxy. A rich array of teaching and learning resources is available at http://thecosmos5.com. The website is regularly updated to include the latest discoveries and photographs in the field.

This new collection of essays follows in the footsteps of the successful volume Thinking Ahead - Essays on Big Data, Digital Revolution, and Participatory Market Society, published at a time when our

The important and rapidly emerging new field known as 'cyber threat intelligence' explores the paradigm that defenders of computer networks gain a better understanding of their adversaries by understanding what assets they have available for an attack. In this book, a team of experts examines a new type of cyber threat intelligence from the heart of the malicious hacking underworld - the dark web. These highly secure sites have allowed anonymous communities of malicious hackers to exchange ideas and techniques, and to buy/sell malware and exploits. Aimed at both cybersecurity practitioners and researchers, this book represents a first step toward a better understanding of malicious hacking communities on the dark web and what to do about them. The authors examine real-world darkweb data through a combination of human and automated techniques to gain insight into these communities, describing both methodology and results.

This thesis reports on the search for dark matter in data taken with the ATLAS detector at CERN’s Large Hadron Collider (LHC). The identification of dark matter and the determination of its properties

This thoroughly updated new edition presents state-of-the-art sparse and multiscale image and signal processing. It covers linear multiscale geometric transforms, such as wavelet, ridgelet, or curvelet transforms, and non-linear multiscale transforms based on the median and mathematical morphology operators. Along with an up-to-the-minute description of required computation, it covers the latest results in inverse problem solving and regularization, sparse signal decomposition, blind source separation, in-painting, and compressed sensing. New chapters and sections cover multiscale geometric transforms for three-dimensional data (data cubes), data on the sphere (geo-located data), dictionary learning, and nonnegative matrix factorization. The authors wed theory and practice in examining applications in areas such as astronomy, including recent results from the European Space Agency's Herschel mission, biology, fusion physics, cold dark matter simulation, medical MRI, digital media, and

The design of trading algorithms requires sophisticated mathematical models backed up by reliable data. In this textbook, the authors develop models for algorithmic trading in contexts such as executing large orders, market making, targeting VWAP and other schedules, trading pairs or collection of assets, and executing in dark pools. These models are grounded on how the exchanges work, whether the algorithm is trading with better informed traders (adverse selection), and the type of information available to market participants at both ultra-high and low frequency. Algorithmic and High-Frequency Trading is the first book that combines sophisticated mathematical modelling, empirical facts and financial economics, taking the reader from basic ideas to cutting-edge research and practice. If you need to understand how modern electronic markets operate, what information provides a trading edge, and how other market participants may affect the profitability of the algorithms, then this is the

Some of the most important international security threats stem from terror groups, criminal enterprises, and other violent non-state actors (VNSAs). Because these groups are often structured as complex, dark networks, analysts have begun to use network science to study them. However, standard network tools were originally developed to examine companies, friendship groups, and other transparent networks. The inherently clandestine nature of dark networks dictates that conventional analytical tools do not always apply. Data on dark networks is incomplete, inaccurate, and often just difficult to find. Moreover, dark networks are often organized to undertake fundamentally different tasks than transparent networks, so resources and information may follow different paths through these two types of organizations. Given the distinctive characteristics of dark networks, unique tools and methods are needed to understand these structures. Illuminating Dark Networks explores the state of the art i

Highlights of Astronomy, Volume 16, summarizes the proceedings of the IAU XXVIII General Assembly held in Beijing, 20–31 August 2012, which brought together more than 2700 astronomers from 75 member countries. The wide range of topics cover the latest developments in almost every area of modern astronomy, including star formation, galaxies, the accelerating cosmos and dark energy, massive stars, high-energy emission in AGN, space-time reference systems, intergalactic magnetic fields, star-planet relations, the interstellar medium, data intensive astronomy, future large scale facilities, and Chinese astronomy. This volume features the Special Sessions, Joint Discussions and Invited Discussions that provide extended reviews of topics, as well as more focused, shorter chapters that reflect the activity of the world community in each field. Taken together with the eight IAU Symposia Proceedings (IAU S288–296), this volume presents the vast panorama of astronomical research at the time of t

Steve Lohr, a technology reporter for the New York Times, chronicles the rise of Big Data, addressing cutting-edge business strategies and examining the dark side of a data-driven world.Coal, iron ore

A jaded Silicon Valley millionaire who, as an awkward teen kept data notebooks on all his crushes, falls for a smart, young journalist and must decide if a dark secret in her past should impact their

The renowned classical scholar and archaeologist A. B. Cook (1868–1952) published the final volume of his monumental Zeus: A Study in Ancient Religion in two parts in 1940. The volume covers the theme of Zeus as a weather-god - the god of earthquakes, clouds, wind, dew, rain and meteorites - an idea that became common during the classical period. Part 2 contains three detailed appendixes on floating islands, the iconography of Eros and the idea of hierogamy. It includes a comprehensive index for the volume and addenda for all three volumes, and contains a rich selection of illustrations: maps, diagrams, photographs, and engravings, including many images of ancient pottery, statues, busts, friezes and ancient coins. A treasure-trove of primary texts, both Greek and Latin, epigraph material and archaeological data, this magnificent work remains an indispensable tool for students and scholars of classics, mythology and ancient religion.

The renowned classical scholar and archaeologist A. B. Cook (1868–1952) published the second volume of his monumental Zeus: A Study in Ancient Religion in two parts in 1925. The volume covers the theme of Zeus as god of lightning and thunder, an idea that became common during the classical period. Part II contains detailed appendixes and a comprehensive index for the volume. It offers a wealth of information, including primary sources, on Zeus' relationship with the god Kairos; mountain-cults; folk-tales and myths; and the various personas and manifestations of the god Zeus. It is beautifully illustrated with maps, diagrams, photographs, and engravings, including many images of pottery, statues, busts, friezes and ancient coins. A treasure-trove of primary texts, both Greek and Latin, epigraph material and archaeological data, this magnificent work remains an indispensable tool for students and scholars of classics, mythology and ancient religion.

The renowned classical scholar and archaeologist A. B. Cook (1868–1952) published the second volume of his monumental Zeus: A Study in Ancient Religion in two parts in 1925. Part I, containing the main text of the study, surveys the theme of Zeus as god of lightning and thunder, an idea that became common during the classical period. Weaving together archaeological, artistic and ancient literary evidence, Cook investigates in detail the concept of the 'Diosemia' or the Zeus-sign; the ideas of the Zeus-struck man, the heavenly road of Zeus and Greek sky-pillars; the relationship between Zeus and Dionysus; and the role of the shrine at Delphi (usually associated with Apollo) in Zeus worship. This sumptuous work is a treasure of primary texts, epigraph material and archaeological data. It contains hundreds of illustrations, and is an indispensable tool for students of classics, mythology and ancient religion.