Add to ORKGJournal ArticleThe problem of systematically capturing and managing provenance for computational tasks has recently received significant attention because of its relevance to a wide range of domains and applications. The authors give an overview of important concepts related to provenance management, so that potential users can make informed decisions when selecting or designing a provenance solution
Data provenance tools seek to facilitate reproducible data science and auditable data analyses by ca...
Data provenance tools seek to facilitate reproducible data science and auditable data analyses by ca...
In this work we analyze the typical operations of data preparation within a machine learning process...
Within computer science, the term provenance has multiple meanings, due to different motivations, pe...
Provenance is a term originating from the work of art. It aims to provide a chain of information of ...
Journal ArticleThe automated tracking and storage of provenance information promises to be a major a...
A provenance-aware computer system is one that records information about the operations it performs ...
International audienceMachine Learning (ML) has become essential in several industries. In Computati...
International audienceRunning experiments on modern systems like supercomput-ers, cloud infrastructu...
International audienceRunning experiments on modern systems like supercomput-ers, cloud infrastructu...
© 2018 Dr Farah Zaib KhanThe automation of computational analyses in data-intensive domains such as ...
Journal ArticleThe demand for the construction of complex visualizations is growing in many discipli...
In the study of fine art, provenance refers to the documented history of some art object. Given that...
Data provenance is the history of a digital artifact, from the point of collection to its present<br...
In this work we analyze the typical operations of data preparation within a machine learning process...
Data provenance tools seek to facilitate reproducible data science and auditable data analyses by ca...
Data provenance tools seek to facilitate reproducible data science and auditable data analyses by ca...
In this work we analyze the typical operations of data preparation within a machine learning process...
Within computer science, the term provenance has multiple meanings, due to different motivations, pe...
Provenance is a term originating from the work of art. It aims to provide a chain of information of ...
Journal ArticleThe automated tracking and storage of provenance information promises to be a major a...
A provenance-aware computer system is one that records information about the operations it performs ...
International audienceMachine Learning (ML) has become essential in several industries. In Computati...
International audienceRunning experiments on modern systems like supercomput-ers, cloud infrastructu...
International audienceRunning experiments on modern systems like supercomput-ers, cloud infrastructu...
© 2018 Dr Farah Zaib KhanThe automation of computational analyses in data-intensive domains such as ...
Journal ArticleThe demand for the construction of complex visualizations is growing in many discipli...
In the study of fine art, provenance refers to the documented history of some art object. Given that...
Data provenance is the history of a digital artifact, from the point of collection to its present<br...
In this work we analyze the typical operations of data preparation within a machine learning process...
Data provenance tools seek to facilitate reproducible data science and auditable data analyses by ca...
Data provenance tools seek to facilitate reproducible data science and auditable data analyses by ca...
In this work we analyze the typical operations of data preparation within a machine learning process...