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 …

With the development of new experimental technologies, biologists are faced with an
avalanche of data to be computationally analyzed for scientific advancements and …

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 …

Workflow provenance typically assumes that each module is a" black-box", so that each
output depends on all inputs (coarse-grained dependencies). Furthermore, it does not …

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 …

Data provenance has evolved from a niche topic to a mainstream area of research in
databases and other research communities. This article gives a comprehensive introduction …

Provenance refers to the entire amount of information, comprising all the elements and their
relationships, that contribute to the existence of a piece of data. The knowledge of …

Workflow systems have become increasingly popular for managing experiments where
many bioinformatics tasks are chained together. Due to the large amount of data generated …

A primer on provenance Page 1 practice 52 COMMUNICATIONS OF THE ACM | MAY 2014 |
VOL. 57 | NO. 5 IMA GE COLL A GE B Y ALICIA KUBIS TA/ANDRIJ BOR YS A SSOCIA TE S …

Identifying intrusion from massive and multi-source logs accurately and in real-time presents
challenges for today's users. This article presents Paradise, a real-time, generalized, and …