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Firearm violence victimization in the United States: do drug preferences matter? [PDF]
Prev Med RepO'Neil MM, Leasure P.
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Design, simulation and feasibility of the innovative agricultural warehouse receipt system through dynamic programming and agent-based models. [PDF]
Sci RepRiazi M +3 more
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Fatal work-related motor vehicle crashes in the United States, 2011-2014: Analysis of matched data from the Census of Fatal Occupational Injuries and the Fatality Analysis Reporting System. [PDF]
J Safety ResRodríguez-Acosta RL +2 more
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The cost-effectiveness of inventory reserves for preventing drug shortages in Germany: a health-economic evaluation. [PDF]
Sci RepGandjour A.
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AI Applications in Transfusion Medicine: Opportunities, Challenges, and Future Directions.
Acta HaematolBarzilai M, Cohen O.
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2014 IEEE 30th International Conference on Data Engineering, 2013
Data stream warehousing is a data management technology designed to simultaneously handle big-data and fast-data. Conceptually, a data stream warehouse can be thought of as a data warehouse system that is updated in nearly-real time rather than during downtimes, or as a data stream management system that stores a very long history. In this tutorial, we
Lukasz Golab, Theodore Johnson
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Data stream warehousing is a data management technology designed to simultaneously handle big-data and fast-data. Conceptually, a data stream warehouse can be thought of as a data warehouse system that is updated in nearly-real time rather than during downtimes, or as a data stream management system that stores a very long history. In this tutorial, we
Lukasz Golab, Theodore Johnson
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Stream warehousing with DataDepot
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data, 2009We describe DataDepot, a tool for generating warehouses from streaming data feeds, such as network-traffic traces, router alerts, financial tickers, transaction logs, and so on. DataDepot is a streaming data warehouse designed to automate the ingestion of streaming data from a wide variety of sources and to maintain complex materialized views over ...
Lukasz Golab +3 more
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Persistence in Data Warehousing
2012 Sixth International Conference on Research Challenges in Information Science (RCIS), 2012Persistence of redundant data in Data Warehouses is often simply justified with an achievement of better performance when accessing data for analysis and reporting. However, there are other reasons to store data persistently, which are often not recognized when designing Data Warehouses.
Thorsten Winsemann, Veit Köppen
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