The Table Lens is a visualization for searching for patterns and outliers in multivariate datasets. It supports a lightweight form of exploratory data analysis (EDA) by integratin...
Abstract—We propose a robust fitting framework, called Adaptive Kernel-Scale Weighted Hypotheses (AKSWH), to segment multiplestructure data even in the presence of a large number...
As the size and dimensionality of data sets increase, the task of feature selection has become increasingly important. In this paper we demonstrate how association rules can be us...
Web applications have become critical components of the global information infrastructure, and it is important that they be validated to ensure their reliability. Therefore, many ...
Sebastian G. Elbaum, Srikanth Karre, Gregg Rotherm...
Identification of design patterns can deliver important information to designers. Therefore, automated design pattern detection (DPD) is highly desirable when it comes to underst...