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High dimensional feature space could potentially hinder the efficiency and performance for machine learning, and high correlations between features may further increase the redundancy and diminish performance of learning algorithms. Domain ontology provides relationships and similarities between concepts in the specific area, and thus can be used to reduce(More)
Note to other teachers and users of these slides. Andrew would be delighted if you found this source material useful in giving your own lectures. Feel free to use these slides verbatim, or to modify them to fit your own needs. PowerPoint originals are available. If you make use of a significant portion of these slides in your own lecture, please include(More)
This short report very briefly surveys a spectrum of technologies from statistics, computer science and data mining that can help with Biosurveillance. We indicate which we have chosen, so far, to use in our development of analysis methods and our informal reasoning. 1 Time-weighted averaging This is directly applicable to a scalar signal (such as " number(More)