Visual analytics for machine learning has recently evolved as one of the most exciting areas
in the field of visualization. To better identify which research topics are promising and to …

We present a systematic literature review of the emerging field of visual learning analytics.
We review existing work in this field from two perspectives: First, we analyze existing …

As a new term in the financial industry, FinTech has become a popular term that describes
novel technologies adopted by the financial service institutions. This term covers a large …

Deep convolutional neural networks (CNNs) have achieved breakthrough performance in
many pattern recognition tasks such as image classification. However, the development of …

Interactive model analysis, the process of understanding, diagnosing, and refining a
machine learning model with the help of interactive visualization, is very important for users …

Although open government data (OGD) are becoming widely available, they have not yet
reached their full potential due to their limited use. Supplementing OGD with visualizations …

Big data processing systems are evolving to be more stream oriented where each data
record is processed as it arrives by distributed and low-latency computational frameworks on …

This article applies scientometric techniques to study the evolution of the field of
entrepreneurship between 1990 and 2013. Using a combination of topic mapping, author …

An integral part of an enterprise computer security incident response team (CSIRT), the
security operations center (SOC) is a centralized unit tasked with real-time monitoring and …

Developing effective visual analytics systems demands care in characterization of domain
problems and integration of visualization techniques and computational models. Urban …