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Structural constraints and keys are used to identify a certain entity, as rules for data merging.
Figure 3 The description of data merging process.
The data merging and analysis were done using STATA Version 10.
This paper focuses on lossless data aggregation, through the efficient merging of application traffic flows, rather than algebraic in-network aggregation.
: and recompressing data, the data is merged "binarily".
Low and high concentration data were merged for data analysis.
MO, EAC & KBW assisted with all data linkage, merging, and recoding.
LL assisted with all data linkage, merging, and recoding.
MO assisted with all data linkage, merging, and recoding.
Data were merged with AIDSVU data on HIV cases.
Patient data was merged with physician data.
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