With the surge of data-driven analysis techniques, there is a rising demand for enhancing
the exploration of large high-dimensional data by enabling interactions for the joint analysis …

Interactive information visualization models aim to make dimensionality reduction (DR)
accessible to non-expert users through interactive visualization frameworks. This systematic …

With the advent of large-scale datasets, visualization has become one of the most useful
concepts of data mining, that assists researchers to identify data patterns without manually …

We propose an interactive visual analytics tool, Vis-SPLIT, for partitioning a population of
individuals into groups with similar gene signatures. Vis-SPLIT allows users to interactively …

We propose Composite Parallel Coordinates, a novel parallel coordinates technique to
effectively represent the interplay of component alternatives in a system. It builds upon a …

In medical diagnostics of both early disease detection and routine patient care, particle-
based contamination of in-vitro diagnostics consumables poses a significant threat to …

Abstract In the United States, congressional redistricting follows a decennial Census.
Gerrymandering can result from selection of district lines regardless of political parties …

We present a visual analytics (VA) framework for the comprehensive exploration and
integrated analysis of radiogenomic and clinical data from a cancer cohort. Our framework …

Many-to-many data point relationship analysis remains one of the most complex open
problems in interactive data visualization. While matrices and parallel coordinated plots are …

Developing a deep understanding of data is a crucial part of decision-making processes. It
often takes substantial time and effort to develop a solid understanding to make well …