Log preprocessing, a process applied on the raw log before applying a predictive method, is of paramount importance to failure prediction and diagnosis. While existing filtering ...
Ziming Zheng, Zhiling Lan, Byung-Hoon Park, Al Gei...
Tracking the progress of a project is often done through imprecise manually gathered information, like progress reports, or through automatic metrics such as Lines Of Code (LOC). ...
Defect density and defect prediction are essential for efficient resource allocation in software evolution. In an empirical study we applied data mining techniques for value seri...
The goal in domain adaptation is to train a model using labeled data sampled from a domain different from the target domain on which the model will be deployed. We exploit unlabel...
— We present three general approaches to detecting prototypical entities in a given taxonomy and apply them to a music information retrieval (MIR) problem. More precisely, we try...