The phrase "a drift of data" is correct and usable in written English.
It can be used to describe a collection or flow of data that is moving or changing over time, often in a metaphorical sense.
Example: "As we analyzed the trends, we noticed a drift of data that suggested a shift in consumer behavior."
Alternatives: "a stream of data" or "a flow of data".
Even though our data demonstrate a drift of only 3.9 mm for a long-axis imaging technique, this represents a distance greater than half the radius of the vessel.
For example, the five star images on September 09, 2016, taken every 2 h show a drift of three pixels between the 1st and 2nd images although the attitude data show a drift of less than one pixel.
In this study we used solid state nuclear magnetic resonance (CP-MAS 13C NMR) and infrared spectroscopy with diffuse reflectance (DRIFT), a collection of data from humic acid-like substances (HA) obtained from vermicompost produced with different sources of raw material and maturation stage.
It can be noted that ANN model predicts suitably the drift of experimental data.
A detailed analysis of errors in MLC PRAM due to resistance drift as a function of data-storage time and number of programming cycles.
A new analysis of data from satellites and drifting sensors finds no evidence that the Atlantic portion of the "Conveyor Belt"—the great warm current flowing ultimately from the Pacific toward the frigid far North Atlantic is slowing.
Dune orientation, being multi-directional, is not consistent with northeast net sand transportation predicted by a drift potential analysis of modern wind data.
Patients number 24 to 32 who were monitored more recently showed a significant upward drift of 7.57 ml/100 g/min, whereas data from patients number 1 to 23 had a downward drift of -0.67 ml/100 g/min.
The merged data set was averaged to 6 min. The drift tube was operated at 2.3 mbar (both instruments) and a drift voltage of 580 V (UIBK) and 550 V (NCAR) and a drift tube temperature of 60 °C (both instruments).
We can see that in a case of little or no concept drift a large data chunk is better and in a case of concept drift small data chunk is better.
