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Veterinary Record, 2016
The potential use of ‘big data’ in veterinary surveillance was highlighted by two speakers at the BVA Congress at the London Vet Show last month.
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The potential use of ‘big data’ in veterinary surveillance was highlighted by two speakers at the BVA Congress at the London Vet Show last month.
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Information Systems Journal, 2015
AbstractThe ‘big data’ literature, academic as well as professional, has a very strong focus on opportunities. Far less attention has been paid to the threats that arise from repurposing data, consolidating data from multiple sources, applying analytical tools to the resulting collections, drawing inferences, and acting on them.
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AbstractThe ‘big data’ literature, academic as well as professional, has a very strong focus on opportunities. Far less attention has been paid to the threats that arise from repurposing data, consolidating data from multiple sources, applying analytical tools to the resulting collections, drawing inferences, and acting on them.
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Veterinary Record, 2018
Ten years ago, a pilot project was launched from the University of Liverpool to explore whether it would be feasible to collect data from small animal veterinary practices and diagnostic laboratories. Surveillance data were well established on the farm side – through data collected by APHA and its previous guises, the SAC and AFBI.
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Ten years ago, a pilot project was launched from the University of Liverpool to explore whether it would be feasible to collect data from small animal veterinary practices and diagnostic laboratories. Surveillance data were well established on the farm side – through data collected by APHA and its previous guises, the SAC and AFBI.
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2014 IEEE International Conference on Semantic Computing, 2014
Big data analytics is the process of examining large amounts of data of a variety of types (big data) to uncover hidden patterns, unknown correlations and other useful information. Its revolutionary potential is now universally recognized. Data complexity, heterogeneity, scale, and timeliness make data analysis a clear bottleneck in many biomedical ...
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Big data analytics is the process of examining large amounts of data of a variety of types (big data) to uncover hidden patterns, unknown correlations and other useful information. Its revolutionary potential is now universally recognized. Data complexity, heterogeneity, scale, and timeliness make data analysis a clear bottleneck in many biomedical ...
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Ophthalmology, 2016
The relatively rapid and recent adoption of electronic health records (EHRs) in ophthalmology has been associated with the promise that the accumulation of large volumes of clinical data would facilitate quality improvement and help to answer a variety of research questions.
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The relatively rapid and recent adoption of electronic health records (EHRs) in ophthalmology has been associated with the promise that the accumulation of large volumes of clinical data would facilitate quality improvement and help to answer a variety of research questions.
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Big Data, Big Brother, Big Money
IEEE Security & Privacy, 2013Government snooping, recently publicized, is now using the same data sources that corporations use to watch us. The same records used by federal agencies to search for terrorists are used, with fewer controls, by corporations searching for customers.
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Big plateaus of big data on the big island
Proceedings of the VLDB Endowment, 2015In ancient texts, 40 was a magic number. It meant a "lot" or "a long time." 40 years represented the time it took for a new generation to arise. A look back at 40 years of VLDB suggests that this applies to database researchers as well -- the young researchers of the early VLDBs are now the old folks of the database world, and a new generation is ...
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Big business with Big Data Big Business mit Big Data
GIS Business, 2019Big business with Big Data Big Business mit Big ...
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