Electric Dreams
Goddess of the Ice Realm
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Privacy-Preserving Data Mining
Advances in hardware technology have increased the capability to store and record personal data about consumers and individuals, causing concerns that personal data may be used for a variety of intrusive or malicious purposes. Privacy-Preserving Data Mining: Models and Algorithms proposes a number of techniques to perform the data mining tasks in a privacy-preserving way. These techniques generally fall into the following categories: data modification techniques, cryptographic methods and protocols for data sharing, statistical techniques for disclosure and inference control, query auditing methods, randomization and perturbation-based techniques. This edited volume contains surveys by distinguished researchers in the privacy field. Each survey includes the key research content as well as future research directions. Privacy-Preserving Data Mining: Models and Algorithms is designed for researchers, professors, and advanced-level students in computer science, and is also suitable for industry practitioners.
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Electric Dreams
Electric Dreams turns to the past to trace the cultural history of computers. Ted Friedman charts the struggles to define the meanings of these powerful machines over more than a century, from the failure of Charles Babbage’s “difference engine” in the nineteenth century to contemporary struggles over file swapping, open source software, and the future of online journalism. To reveal the hopes and fears inspired by computers, Electric Dreams examines a wide range of texts, including films, advertisements, novels, magazines, computer games, blogs, and even operating systems. Electric Dreams argues that the debates over computers are critically important because they are how Americans talk about the future. In a society that in so many ways has given up on imagining anything better than multinational capitalism, cyberculture offers room to dream of different kinds of tomorrow.
Green IT
This book is the first of its kind in presenting comprehensive technical issues and solutions for rapidly growing Green IT. It brings together in a single volume both green communications and green computing under the theme of Green IT, and presents exciting research and developments taking place therein in a survey style. Written by the subject matter experts consisting of an international team of recognized researchers and practitioners in the field, "Green IT: Technologies and Applications" will serve as an excellent source of information on the latest technical trend of Green IT for graduate/undergraduate students, researchers, engineers, and engineering managers in the IT (Electrical, Communications, Computer Engineering, Computer Science, Information Science) as well as interdisciplinary areas such as sustainability, environment, and energy. The book comprises three parts: Green Communications, Green Computing, and Smart Grid and Applications. Part I: Green Communications deals with energy efficient architectures and associated performance measures in wireless communications.It covers energy issues in PHY, MAC, Routing, Application layers and their solutions for a variety of networks. Part II: Green Computing deals with various energy issues in data centers, computing clusters, computing storage, and associated optimization techniques. Energy management strategies are presented to balance between energy efficiency and required qualities of services. Part III: Smart Grid and Applications presents an overview and research challenges for smart grid. Applications include modeling of urban pollutant for transportation networks, Wireless Sensor Network (WSN) architecture with long range radio, and Green IT standards.
Artificial Intelligence in Education
Artificial Intelligence in Education conference 2009 (AIED) is part of a series of biennial international conferences for top quality research in intelligent systems and cognitive science for educational computing applications. This title covers papers presented at the Artificial Intelligence in Education conference 2009 (AIED).