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Computational Trust Models and Machine Learning provides a detailed introduction to the concept of trust and its application in various computer science areas, including multi-agent systems, online social networks, and communication systems. Identifying trust modeling challenges that cannot be addressed by traditional approaches, this book:Explains
This two volume set LNCS 5981 and LNCS 5982 constitutes the refereed proceedings of the 15th International Conference on Database Systems for Advanced Applications, DASFAA 2010, held in Tsukuba, Japan, in April 2010. The 39 revised full papers and 16 revised short papers presented together with 3 invited keynote papers, 22 demonstration papers, 6 industrial papers, and 2 keynote talks were carefully reviewed and selected from 285 submissions. The papers of the first volume are organized in topical sections on P2P-based technologies, data mining technologies, XML search and matching, graphs, spatial databases, XML technologies, time series and streams, advanced data mining, query processing, Web, sensor networks and communications, information management, as well as communities and Web graphs. The second volume contains contributions related to trajectories and moving objects, skyline queries, privacy and security, data streams, similarity search and event processing, storage and advanced topics, industrial, demo papers, and tutorials and panels.
NEW YORK TIMES BESTSELLER Using a restricted FBI database, genetic researcher Jeanie Ferrami has located identical twins born to different mothers. Frightened by her bizarre discovery, she is determined to discover the truth at any cost—until she finds herself at the center of a scandal that could ruin her career. To extricate herself, Jeannie plunges into a maze of hidden evidence. With growing horror, she uncovers a cynical, far-reaching conspiracy involving disturbing genetic experiments and some of the most powerful men in America—men who will kill to keep their secrets concealed.
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