E-Book, Englisch, Band 426, 184 Seiten, eBook
Liu / Bai / Giugni Data Provenance and Data Management in eScience
2013
ISBN: 978-3-642-29931-5
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark
E-Book, Englisch, Band 426, 184 Seiten, eBook
Reihe: Studies in Computational Intelligence
ISBN: 978-3-642-29931-5
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark
This book covers important aspects of fundamental research in data provenance and data management(DPDM), including provenance representation and querying, as well as practical applications in such domains as clinical trials, bioinformatics and radio astronomy.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
Provenance Model for Randomized Controlled Trials.- Evaluating Workflow Trust Using Hidden Markov Modeling and Provenance Data.- Unmanaged Workflows: Their Provenance and Use.- Sketching Distributed Data Provenance.- A Mobile Cloud with Trusted Data Provenance Services for Bioinformatics Research.- Data Provenance and Management in Radio Astronomy: A Stream Computing Approach.- Using Provenance to Support Good Laboratory Practice in Grid Environments.
