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LabelFlow: Exploiting Workflow Provenance to Surface Scientific Data Provenance
, 2014 openaire +1 more source
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Provenance-based data skipping
Proceedings of the VLDB Endowment, 2021Database systems use static analysis to determine upfront which data is needed for answering a query and use indexes and other physical design techniques to speed-up access to that data. However, for important classes of queries, e.g., HAVING and top-k queries, it is impossible to determine up-front what data isrelevant.To overcome this limitation, we ...
Xing Niu +7 more
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2020
This chapter introduces the secure data provenance technique. We mainly focus on secure data provenance schemes for cloud storage systems. In the subsequent sections of this chapter, we first introduce the basic paradigms and principles of secure data provenance. Then, we give a comprehensive survey on the secure data provenance schemes.
Yuan Zhang +2 more
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This chapter introduces the secure data provenance technique. We mainly focus on secure data provenance schemes for cloud storage systems. In the subsequent sections of this chapter, we first introduce the basic paradigms and principles of secure data provenance. Then, we give a comprehensive survey on the secure data provenance schemes.
Yuan Zhang +2 more
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Clustering provenance facilitating provenance exploration through data abstraction
Proceedings of the Workshop on Human-In-the-Loop Data Analytics, 2016As digital objects become increasingly important in people's lives, people may need to understand the provenance, or lineage and history, of an important digital object, to understand how it was produced. This is particularly important for objects created from large, multi-source collections of personal data.
Linus Karsai +3 more
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Data Provenance in Vehicle Data Chains
2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring), 2021With almost every new vehicle being connected, the importance of vehicle data is growing rapidly. Many mobility applications rely on the fusion of data coming from heterogeneous data sources, like vehicle and "smart-city" data or process data generated by systems out of their control.
Wilms, Daniel +2 more
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2009
In recent years, our sensing capability has increased manifold. The developments in sensor technology, telecommunication, computer networking and distributed computing domain have created strong grounds for building sensor networks that are now reaching global scales (Balazinska et al., 2007).
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In recent years, our sensing capability has increased manifold. The developments in sensor technology, telecommunication, computer networking and distributed computing domain have created strong grounds for building sensor networks that are now reaching global scales (Balazinska et al., 2007).
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Linked data processing provenance
Proceedings of the International Conference on Web Intelligence, 2017The growth of Linked Data has created a promising environment for data exploration and a growing number of tools allow users to interactively integrate data from various sources. Eliciting the reliability of the results of such ad-hoc integration processes, consistently recreating those results, and identifying changes upon re-execution, however, can ...
Tuan-Dat Trinh +7 more
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Provenance for Astrophysical Data
2018In the context of astronomy projects, provenance information is important to enable scientists to trace back the origin of a dataset. It is used to learn about the people and organizations involved in a project and assess the quality of the dataset as well as the usefulness of the dataset their scientific work.
Anastasia Galkin +7 more
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Sketching Distributed Data Provenance
2013Users can determine the precise origins of their data by collecting detailed provenance records. However, auditing at a finer grain produces large amounts of metadata. To efficiently manage the collected provenance, several provenance management systems, including SPADE, record provenance on the hosts where it is generated.
Tanu Malik +3 more
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