Interactive machine learning (IML) is an iterative learning process that tightly couples a
human with a machine learner, which is widely used by researchers and practitioners to …

Predictive analytics embraces an extensive range of techniques including statistical
modeling, machine learning, and data mining and is applied in business intelligence, public …

The analysis of ocean and atmospheric datasets offers a unique set of challenges to
scientists working in different application areas. These challenges include dealing with …

Five years after the first state-of-the-art report on Commercial Visual Analytics Systems we
present a reevaluation of the Big Data Analytics field. We build on the success of the 2012 …

Deep learning methods are being increasingly used for urban traffic prediction where
spatiotemporal traffic data is aggregated into sequentially organized matrices that are then …

Addressing climate change requires cross-cutting and effective adaptation strategies. We
presented a scenario-based, cross-scale, and spatially explicit framework for analyzing …

In this paper, we present HomeSeeker, an interactive visual analytics system to serve users
with different backgrounds of the local real estate market and meet different degrees of user …

Geographical areal data usually presents hierarchical structures, and its characteristics vary
at different scales. At the higher scales, the visualization of geographical areal data is …

A predominance map expresses the predominant data category for each geographical entity
and colors are used to differentiate a small number of data categories. In tag maps, many …

The site selection of sports facilities is a pivotal link in the construction of city livable
environment and the development of sports business in digital-twinning cities. Recent years …