Show simple item record Chen, Peng en Plale, Beth en Aktas, Mehmet S. en 2012-09-14T20:11:54Z en 2012-09-14T20:11:54Z en 2012-09 en
dc.identifier.citation Chen, Peng, Beth Plale, and Mehmet Aktas. “Temporal Representation for Scientific Data Provenance.” Preprint of paper accepted for the 8th IEEE International Conference on eScience (eScience 2012), submitted September 14, 2012. en
dc.identifier.uri en
dc.description.abstract Provenance of digital scientific data is an important piece of the metadata of a data object. It can however grow voluminous quickly because the granularity level of capture can be high. It can also be quite feature rich. We propose a representation of the provenance data based on logical time that reduces the feature space. Creating time and frequency domain representations of the provenance, we apply clustering, classification and association rule mining to the abstract representations to determine the usefulness of the temporal representation. We evaluate the temporal representation using an existing 10 GB database of provenance captured from a range of scientific workflows. en
dc.description.sponsorship NASA grant NNX10AM03G en
dc.language.iso en_US en
dc.publisher en
dc.subject provenance representation en
dc.subject logical clock en
dc.subject temporal data mining en
dc.title Temporal Representation for Scientific Data Provenance en
dc.type Preprint en
dc.altmetrics.display true en

Files in this item

This item appears in the following Collection(s)

Show simple item record

Search IUScholarWorks

Advanced Search


My Account