Provenance in the context of workflows, both for the data they derive and for their
specification, is an essential component to allow for result reproducibility, sharing, and …

The increasing scale and availability of digital data provides an extraordinary resource for
informing public policy, scientific discovery, business strategy, and even our personal lives …

While the primary goal of visual analytics research is to improve the quality of insights and
findings, a substantial amount of research in provenance has focused on the history of …

Provenance, ie, the origin or source of something, is becoming an important concern, since it
offers the means to verify data products, to infer their quality, to analyse the processes that …

Until not long ago, manually capturing and storing provenance from scientific experiments
were constant concerns for scientists. With the advent of computational experiments …

The purpose of this article is to highlight a main issue regarding reliable audit evidence
derived from Big Data—that of secure data provenance. Traditionally, audit evidence …

Abstract The first Provenance Challenge was set up in order to provide a forum for the
community to understand the capabilities of different provenance systems and the …

The application of frequent patterns in classification has demonstrated its power in recent
studies. It often adopts a two-step approach: frequent pattern (or classification rule) mining …

We present a novel visual exploration method based on small multiples and large singles for
effective and efficient data analysis. Users are enabled to explore the state space by offering …

The Software for Assisted Habitat Modeling (SAHM) has been created to both expedite
habitat modeling and help maintain a record of the various input data, pre‐and post …