Avory C. Bryant

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A streaming data clustering algorithm is presented building upon the density-based self-organizing stream clustering algorithm SOSTREAM. Many density-based clustering algorithms are limited by their inability to identify clusters with heterogeneous density. SOSTREAM addresses this limitation through the use of local (nearest neighbor-based) density(More)
This talk will focus on our recent work in the identification of related documents from different corpora or discipline areas. The purpose of this work is to help a researcher or program manager to identify fruitful cross-disciplinary research areas. The talk will discuss some preliminary results that have been obtained using a small Science News (around(More)
The above sentiment has been expressed many times by many people in recent times ([1]; also [2, 3, 4]). Signals extracted from the scientific literature concerning emerging technologies may be useful in predicting when and where technological breakthroughs might be expected ([2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14]). These two ideas together suggest our(More)
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