Purpose Big Data introduces high amounts and new forms of structured, unstructured and
semi-structured data into the field of accounting and this requires alternative data …

Objectives As personal health data are being returned to patients with increasing frequency
and volume, visualizations are garnering excitement for their potential to facilitate patient …

Abstract Information visualization is a rapidly evolving field with a growing volume of
scientific literature and texts continually published. To keep abreast of the latest …

Purpose Visual analytics is increasingly becoming a prominent technology for organizations
seeking to gain knowledge and actionable insights from heterogeneous and big data to …

Building Information Modeling (BIM) employs data-rich 3D CAD models for large-scale
facility design, construction, and operation. These complex datasets contain a large amount …

We present a framework that allows users to incorporate the semantics of their domain
knowledge for topic model refinement while remaining model-agnostic. Our approach …

Visualization helps to comprehend and analyze large amounts of data, a fundamental
necessity for network security due to the large volume of audits traces produced each day. In …

Cognitive biases are systematic errors in judgment due to an over‐reliance on rule‐of‐
thumb heuristics. Recent research suggests that cognitive biases, like numerical anchoring …

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 …

Modern software systems require the support of automatic program analyses to answer
questions about their correctness, reliability, and safety. In recent years, symbolic execution …