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Local Terabytes, Remote Terabytes, and Distributed
Terabytes:
Three Case Studies in Data Mining
Robert Grossman
University of Illinois at Chicago and Open Data
Partners
Hosted by Rusty Lusk
10:30 AM, May 1, 2006
Building 221, Room A216
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Spinning a terabyte of disk is now very easy, but analyzing a terabyte
of
heterogeneous data to extract meaningful information is still a
challenge. If the terabytes are in another location, then developing the
appropriate middleware to access, explore and transport it is a
challenge. Finally, if the data is from separate sources, especially
distributed sources, then integrating the data is a challenge. In this
talk, we look at three case studies in data mining that address these and
related challenges. |
