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Reviewers: Bielikova, Maria
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1 published by ACM
October 2004 SIGDOC '04: Proceedings of the 22nd annual international conference on Design of communication: The engineering of quality documentation
Publisher: ACM
Citation Count: 1
Downloads (6 Weeks): 2,   Downloads (12 Months): 5,   Downloads (Overall): 379

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Software publishers and information service providers publish information about their own products and about other products and people. Additional content might be incidental, such as discussion of the practice of accounting in documentation of a bookkeeping program. Or it may relate to a publisher's product, such as papers on the ...
Keywords: defamation, libel, negligence, documentation, professional liability, warranty, web content, information liability

2 published by ACM
September 2006 ACM Transactions on Database Systems (TODS): Volume 31 Issue 3, September 2006
Publisher: ACM
Citation Count: 36
Downloads (6 Weeks): 2,   Downloads (12 Months): 8,   Downloads (Overall): 1,753

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We investigate the problem of ranking the answers to a database query when many tuples are returned. In particular, we present methodologies to tackle the problem for conjunctive and range queries, by adapting and applying principles of probabilistic models from information retrieval for structured data. Our solution is domain independent ...
Keywords: Probabilistic information retrieval, automatic ranking, experimentation, indexing, relational queries, user survey, workload

December 2010 The VLDB Journal — The International Journal on Very Large Data Bases: Volume 19 Issue 6, December 2010
Publisher: Springer-Verlag New York, Inc.
Citation Count: 19
Downloads (6 Weeks): 2,   Downloads (12 Months): 8,   Downloads (Overall): 266

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We identify privacy risks associated with releasing network datasets and provide an algorithm that mitigates those risks. A network dataset is a graph representing entities connected by edges representing relations such as friendship, communication or shared activity. Maintaining privacy when publishing a network dataset is uniquely challenging because an individual's ...
Keywords: Anonymization, Anonymity, Networks, Privacy, Social networks

Result 1 – 3 of 3

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