"Données massives." . . "Personenbezogene Daten." . . "Technikbewertung." . . . "Overview: Big Data is made up of lots of little data: numbers entered into cell phones, addresses entered into GPS devices, visits to websites, online purchases, ATM transactions, and any other activity that leaves a digital trail. Although the abuse of Big Data-surveillance, spying, hacking-has made headlines, it shouldn't overshadow the abundant positive applications of Big Data. In Reality Mining, Nathan Eagle and Kate Greene cut through the hype and the headlines to explore the positive potential of Big Data, showing the ways in which the analysis of Big Data (\"Reality Mining\") can be used to improve human systems as varied as political polling and disease tracking, while considering user privacy. Eagle, a recognized expert in the field, and Greene, an experienced technology journalist, describe Reality Mining at five different levels: the individual, the neighborhood and organization, the city, the nation, and the world. For each level, they first offer a nontechnical explanation of data collection methods and then describe applications and systems that have been or could be built. These include a mobile app that helps smokers quit smoking; a workplace \"knowledge system\"; the use of GPS, Wi-Fi, and mobile phone data to manage and predict traffic flows; and the analysis of social media to track the spread of disease. Eagle and Greene argue that Big Data, used respectfully and responsibly, can help people live better, healthier, and happier lives." . . "Reality mining. Using Big Data to engineer a better world"@en . . . . . . . . . . . . "Reality mining using big data to engineer a better world" . . . . . . . . . . . . . . . . . . . . "In this book, the authors explore the positive potential of big data, showing the ways in which the analysis of big data (\"reality mining\") can be used to improve human systems as varied as political polling and disease tracking, while considering user privacy. They describe reality mining at five different levels: the individual, the neighborhood and organization, the city, the nation, and the world. For each level, they offer a nontechnical explanation of data collection methods and describe applications and systems that have been or could be built. These include a mobile app that helps smokers quit smoking; a workplace \"knowledge system\"; the use of GPS, Wi-Fi, and mobile phone data to manage and predict traffic flows; and the analysis of social media to track the spread of disease. The authors argue that big data, used respectfully and responsibly, can help people live better, healthier, and happier lives. --" . "In this book, the authors explore the positive potential of big data, showing the ways in which the analysis of big data (\"reality mining\") can be used to improve human systems as varied as political polling and disease tracking, while considering user privacy. They describe reality mining at five different levels: the individual, the neighborhood and organization, the city, the nation, and the world. For each level, they offer a nontechnical explanation of data collection methods and describe applications and systems that have been or could be built. These include a mobile app that helps smokers quit smoking; a workplace \"knowledge system\"; the use of GPS, Wi-Fi, and mobile phone data to manage and predict traffic flows; and the analysis of social media to track the spread of disease. The authors argue that big data, used respectfully and responsibly, can help people live better, healthier, and happier lives. --"@en . . . . . . "Overview: Big Data is made up of lots of little data: numbers entered into cell phones, addresses entered into GPS devices, visits to websites, online purchases, ATM transactions, and any other activity that leaves a digital trail. Although the abuse of Big Data-surveillance, spying, hacking-has made headlines, it shouldn't overshadow the abundant positive applications of Big Data. In Reality Mining, Nathan Eagle and Kate Greene cut through the hype and the headlines to explore the positive potential of Big Data, showing the ways in which the analysis of Big Data (\"Reality Mining\") can be used to improve human systems as varied as political polling and disease tracking, while considering user privacy. Eagle, a recognized expert in the field, and Greene, an experienced technology journalist, describe Reality Mining at five different levels: the individual, the neighborhood and organization, the city, the nation, and the world. For each level, they first offer a nontechnical explanation of data collection methods and then describe applications and systems that have been or could be built. These include a mobile app that helps smokers quit smoking; a workplace \"knowledge system\"; the use of GPS, Wi-Fi, and mobile phone data to manage and predict traffic flows; and the analysis of social media to track the spread of disease. Eagle and Greene argue that Big Data, used respectfully and responsibly, can help people live better, healthier, and happier lives." . . "Electronic books"@en . "Electronic books" . . . . . . "Livres électroniques" . . . . "Reality mining : using big data to engineer a better world" . "Reality mining : using big data to engineer a better world"@en . . . . "Massendaten." . . "Exploration de données (Informatique)" . . "Sciences de l'information Aspect social." . . "Rassemblement des données." . . "Internet." . . "Computer networks Social aspects." . . "Computer networks Social aspects" . "COMPUTERS / Database Management / Data Mining." . . "COMPUTERS Database Management Data Mining." . "Information science Social aspects." . . "Information science Social aspects" . "Économie numérique Méthodes statistiques." . . "Réseaux d'ordinateurs Aspect social." . . "Data Mining." . . "Data mining." . "Data mining" . "COMPUTERS General." . . "Réseaux sociaux en ligne." . . "Données volumineuses." . . "Information science Statistical methods." . . "Information science Statistical methods" . . . "Big data." . . "Big data" . "Nouvelle économie." . . "Sciences de l'information Méthodes statistiques." . . "Technologies numériques." . . "Fouille de données." . .