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Learning from large data : bias, variance, sampling, and learning curves

Brain, Damien. 2003, Learning from large data : bias, variance, sampling, and learning curves, Ph.D. thesis, School of Information Technology, Deakin University.

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Title Learning from large data : bias, variance, sampling, and learning curves
Author Brain, Damien.
Institution Deakin University
School School of Information Technology
Faculty Faculty of Science and Technology
Degree name Ph.D.
Date submitted 2003
Keyword(s) Data mining
Database searching
Algorithms - Data processing
Summary Commercial organisations demand value from data collection and customer identity tracking schemes like "Fly Buys". This dissertation shows that many commonly used data mining techniques cannot function with the very large data sets that result from such approaches to data collection and proposes new approaches to algorithm design for mining such data sets.
Language eng
Description of original xii, 229 leaves ; 30 cm.
Dewey Decimal Classification 006.312
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30023193

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Created: Fri, 12 Feb 2010, 07:29:04 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.