NewsFrom: gpsDate: Fri, 19 Jan 2001 09:09:25 -0500 (EST) Subject: MIT Technology Review selected Usama Fayyad to represent the data mining field Technology Review, MIT's Magazine of Innovation, has selected Digimine's president and CEO Usama Fayyad, Ph.D., as a representative of the field of data mining for the Technology Review Ten, or "TR10". The TR10 is a list of 10 emerging technology fields -- each represented by one individual -- that will have a profound impact on the economy and how we live and work, as determined by the editors of Technology Review. Technology Review's editors chose Dr. Fayyad based on his experience as a data mining innovator who exemplifies the potential and promise of the field. Technology Review profiles Dr. Fayyad's career as a data mining pioneer and describes his newest role as CEO of digiMine in the January/February 2001 issue. (Other The Technology Review Fields are: Brain-Machine Interface, Flexible Transistors, Digital Rights Management, Biometrics, Natural Language Processing, Microphotonics, Untangling Code, Robot Design, and Microfluidics. GPS) The future of data-mining technology, says Fayyad, is wide open, especially as researchers begin to move beyond the field's original focus on highly structured, relational databases. One very hot area is "text data mining": extracting unexpected relationships from huge collections of free-form text documents. The results are still preliminary, as various labs experiment with natural-language processing, statistical word counts and other techniques. But the University of California at Berkeley's LINDI system, to take one example, has already been used to help geneticists search the biomedical literature and produce plausible hypotheses for the function of newly discovered genes. Another hot area, says Fayyad, is "video mining": using a combination of speech recognition, image understanding and natural-language processing techniques to open up the world's vast video archives to efficient computer searching. For instance, when Carnegie Mellon University's Informedia II system is given an archive of, say, CNN news clips, it produces a computer-searchable index by automatically dividing each clip into individual scenes accompanied by transcripts and headlines. Fayyad hopes that ultimately the techniques of data mining will become so successful and so thoroughly integrated into standard database systems that they will no longer be thought of as exotic. "People will just assume that their database software will do what they need." See the full article at www.technologyreview.com/magazine/jan01/TR10_fayyad.asp |
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