Temporal data mining aims at finding patterns in historical data. Our work proposes an approach to extract temporal patterns from data to predict the occurrence of target events,...
In style-constrained classification often there are only a few samples of each style and class, and the correspondences between styles in the training set and the test set are un...
This paper presents a static race detection analysis for multithreaded Java programs. Our analysis is based on a formal type system that is capable of capturing many common synchr...
In this paper, we propose a scheme to improve the performance of subspace learning by using a pattern(data) selection method as preprocessing. Generally, a training set for subspa...
Jin Hee Na, Seok Min Yun, Minsoo Kim, Jin Young Ch...
Evidence suggests that as software ages the original realizations of design patterns remain in place, and participants in design pattern realizations accumulate “grime” – no...