eriodically time-varying (LPTV) abstractions are useful for a variety of communication and computer subsystems. In this paper, we present a novel operator-based model-order reduct...
Data analysts need to understand the quality of data in the warehouse. This is often done by issuing many Group By queries on the sets of columns of interest. Since the volume of ...
Abstract. Clustering is a widely used unsupervised data analysis technique in machine learning. However, a common requirement amongst many existing clustering methods is that all p...
Clustering is one of the most important analysis tasks in spatial databases. We study the problem of clustering objects, which lie on edges of a large weighted spatial network. Th...
In object oriented programming, the functionalities of a system result from the interactions (message exchanges) among the objects allocated by the system. While designing object ...