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    Stream Data Mining: Active Labeling, Cleansing, and Vague Learning
    Update time: 2010-03-01
    Text Size: A A A

    Time: pm3:00 February 4,2010
    Place: Meeting Hall, 4th Floor, ICT, CAS
    Speaker: Prof. David Du, University of Minnesota

    This talk will examine the challenges in the convergence of both network centric and data centric computing, and present a vision of a content addressable future Internet. It will also present a number of research projects that are carried out in our Intelligent Storage Consortium. These projects include data deduplication, long-term data preservation, data/storage security/privacy, and solid state drives.

    Dr. Du is an IEEE Fellow (since 1998) and a Fellow of the Minnesota Supercomputer Institute. He received a Ph.D. degree from University of Washington (Seattle), a M.S from University of Washington and a B.S. from National Tsing-Hua University (Taiwan) in 1981, 1980 and 1974 respectively. He joined University of Minnesota as a faculty since 1981.


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