In this work we design algorithms for clustering relational columns into attributes, i.e., for identifying strong relationships between columns based on the common properties and ...
In this paper we introduce a new algorithm for computing near optimal schedules for task graph problems. In contrast to conventional approaches for solving those scheduling proble...
A structural similarity kernel is presented in this paper for SVM learning, especially for learning with imbalanced datasets. Kernels in SVM are usually pairwise, comparing the sim...
Historical prices are important information that can help consumers decide whether the time is right to buy a product. They provide both a context to the users, and facilitate the...
Over the last decade the cost of producing genomic sequences has dropped dramatically due to the current so called “next-gen” sequencing methods. However, these next-gen seque...