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This book provides a comprehensive overview of the research on anomaly detection with respect to context and situational awareness that aim to get a better understanding of how context information influences anomaly detection. In each chapter, it identifies advanced anomaly detection and key assumptions, which are used by the model to differentiate between normal and anomalous behavior. When applying a given model to a particular application, the assumptions can be used as guidelines to assess the effectiveness of the model in that domain. Each chapter provides an advanced deep content understanding and anomaly detection algorithm, and then shows how the proposed approach is deviating of the basic techniques. Further, for each chapter, it describes the advantages and disadvantages of the algorithm. The final chapters provide a discussion on the computational complexity of the models and graph computational frameworks such as Google Tensorflow and H2O because it is an important issue in real application domains. This book provides a better understanding of the different directions in which research has been done on deep semantic analysis and situational assessment using deep learning for anomalous detection, and how methods developed in one area can be applied in applications in other domains. This book seeks to provide both cyber analytics practitioners and researchers an up-to-date and advanced knowledge in cloud based frameworks for deep semantic analysis and advanced anomaly detection using cognitive and artificial intelligence (AI) models.

Semantic computing. --- Anomaly detection (Computer security) --- Invisible Web.

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The hidden rise of personalization on the Internet is controlling--and limiting--the information we consume. In 2009, Google began customizing its search results. Instead of giving you the most broadly popular result, Google now tries to predict what you are most likely to click on. According to MoveOn.org board president Eli Pariser, this change is symptomatic of the most significant shift to take place on the Web in recent years--the rise of personalization. Though the phenomenon has gone largely undetected until now, personalized filters are sweeping the Web, creating individual universes of information for each of us. Data companies track your personal information to sell to advertisers, from your political leanings to the hiking boots you just browsed on Zappos. In a personalized world, we will increasingly be typed and fed only news that is pleasant, familiar, and confirms our beliefs--and because these filters are invisible, we won't know what is being hidden from us. Our past interests will determine what we are exposed to in the future, leaving less room for the unexpected encounters that spark creativity, innovation, and the democratic exchange of ideas.--

Invisible Web. --- Internet --- Web search engines. --- Target marketing. --- Selective dissemination of information. --- Web invisible --- Moteurs de recherche sur Internet --- Cibles (Marketing) --- Diffusion sélective de l'information --- Censorship. --- Censure --- Invisible Web --- Information organization --- Semantic Web --- World Wide Web --- Social aspects --- Subject access --- Censorship --- Diffusion sélective de l'information --- Semantic Web - Social aspects --- World Wide Web - Subject access --- Internet - Censorship

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Demonstrating why teaching the Invisible Web should be a requirement for information literacy education in the 21st century, here the authors expand on the teaching foundation provided in the first book and persuasively argue that the Invisible Web is still relevant not only to student research but also to everyday life.

Invisible Web. --- Invisible Web --- Internet searching. --- Database searching. --- Data base searching --- Database search strategies --- Search strategies in databases --- Searching databases --- Electronic information resource searching --- Searching the Internet --- Web searching --- World Wide Web searching --- Deep Web --- Deepnet --- Hidden Web --- World Wide Web --- Study and teaching. --- usynlig internett --- world wide web --- informasjonsgjenfinning --- læring --- undervisning --- søketeknikk --- verdensveven --- databaser --- informasjonssøking --- søking --- online --- skjult

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The hidden rise of personalization on the Internet is controlling--and limiting--the information we consume. In 2009, Google began customizing its search results. Instead of giving you the most broadly popular result, Google now tries to predict what you are most likely to click on. According to MoveOn.org board president Eli Pariser, this change is symptomatic of the most significant shift to take place on the Web in recent years--the rise of personalization. Though the phenomenon has gone largely undetected until now, personalized filters are sweeping the Web, creating individual universes of information for each of us. Data companies track your personal information to sell to advertisers, from your political leanings to the hiking boots you just browsed on Zappos. In a personalized world, we will increasingly be typed and fed only news that is pleasant, familiar, and confirms our beliefs--and because these filters are invisible, we won't know what is being hidden from us. Our past interests will determine what we are exposed to in the future, leaving less room for the unexpected encounters that spark creativity, innovation, and the democratic exchange of ideas.--From publisher description.

Computer architecture. Operating systems --- Invisible Web --- Information organization --- Semantic Web --- World Wide Web --- Internet --- Social aspects --- Subject access --- Censorship --- Invisible Web. --- Information organization. --- Subject access to the World Wide Web --- Subject retrieval on the World Wide Web --- Subject cataloging --- Web search engines --- Semantic integration (Computer systems) --- Semantic networks (Information theory) --- Microformats --- Information storage and retrieval --- Organization of information --- Information science --- Information storage and retrieval systems --- Deep Web --- Deepnet --- Hidden Web --- DARPA Internet --- Internet (Computer network) --- Wide area networks (Computer networks) --- Social aspects. --- Subject access. --- Censorship. --- Semantic Web - Social aspects --- World Wide Web - Subject access --- Internet - Censorship

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Le Darknet suscite depuis plusieurs années fascination et inquiétude. Internet caché, web profond, darknet, deep web, ces termes souvent confondus désignent des réalités pourtant bien différentes. Depuis l'apparition du hacking et le développement du téléchargement illégal jusqu’à la création des véritables réseaux parallèles que constituent Tor, I2P ou Freenet, les darknets sont un phénomène informatique en passe de devenir un phénomène de société. Alors que Facebook ou Twitter ont déjà fait leur entrée sur Tor, cryptoanarchistes, activistes et lanceurs d'alerte côtoient encore pirates informatiques et vendeurs de stupéfiants sur des réseaux cachés qui s'ouvrent lentement au grand public. Géopolitique du Darknet retrace l'historique de la création et du développement de ces réseaux parallèles et analyse les implications géopolitiques, économiques et socioculturelles du phénomène en termes de cybersécurité, de préservation des libertés individuelles et de gouvernance globale d'Internet.

Réseaux anonymes (informatique) --- Médias numériques. --- Réseaux d'ordinateurs. --- Technologies de l'information et de la communication. --- Invisible Web --- Cyberspace --- Internet --- Computer security --- Social aspects --- Political aspects --- Security measures --- Technologies de l'information et de la communication --- Cyberspace - Social aspects --- Cyberspace - Political aspects --- Internet - Security measures