Mining statistical correlations with applications to software analysis
Machine learning, data mining, and statistical methods work by representing real-world objects in terms of feature sets that best describe them. This thesis addresses problems related to inferring and analyzing correlations among such features. The contributions of this thesis are two-fold: we devel...
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| Format: | Others |
| Language: | English |
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2012
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| Online Access: | http://hdl.handle.net/2152/18340 |