Large software organizations are transitioning to event data platforms as they culturally shift
to better support data-driven decision making. This paper offers a case study at Microsoft …

In the past few years, augmented reality (AR) and virtual reality (VR) technologies have
experienced terrific improvements in both accessibility and hardware capabilities …

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 …

Data cleaning is widely regarded as a critical piece of machine learning (ML) applications,
as data errors can corrupt models in ways that cause the application to operate incorrectly …

In data integration, data curation, and other data analysis tasks, users spend a considerable
amount of time converting data from one representation to another. For example US dates to …

Lattice distortion is a basic characteristic of multi-principal element alloys (MPEAs), or high
entropy alloys (HEAs). The severe lattice distortion strategy is an effective way to improve …

Data cleaning is frequently an iterative process tailored to the requirements of a specific
analysis task. The design and implementation of iterative data cleaning tools presents novel …

We present Falcon, an interactive, deterministic, and declarative data cleaning system,
which uses SQL update queries as the language to repair data. Falcon does not rely on the …

Many pressing questions in science are macroscopic: they require scientists to consult
information expressed in a wide range of resources, many of which are not organized in a …

We analyze the workload from a multi-year deployment of a database-as-a-service platform
targeting scientists and data scientists with minimal database experience. Our hypothesis …