Lofton A. Bullard

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The value of knowledge inferred from information databases is critically dependent on the quality of data. We present multiple imputation as a reliable and consistent imputation technique for handling missing data in a numeric dependent variable in software metrics data sets. Experiments were conducted using multiple, mean, k-Nearest Neighbors, regression,(More)
A new rule-based classification model (RBCM) and rule-based model selection technique are presented. The RBCM utilizes rough set theory to significantly reduce the number of attributes, discretation to partition the domain of attribute values, and Boolean predicates to generate the decision rules that comprise the model. When the domain values of an(More)
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