Sentence examples for data mismatch from inspiring English sources

The phrase "data mismatch" is correct and usable in written English.
It can be used when referring to a situation where data does not align or correspond as expected, often in contexts like databases, data analysis, or software development.
Example: "The report generated an error due to a data mismatch between the input files."
Alternatives: "data inconsistency" or "data discrepancy."

Exact(12)

The data mismatch is minimized and the process is iterated until the best match is achieved.

The MP3 format actively limits the spectral bandwidth of the compressed data, which can create the problem of training and testing data mismatch.

For model calibration, we adopt a regularized least-squares formulation, involving (i) data mismatch, (ii) pattern connectivity, and (iii) feasibility constraint terms.

Although any deterministic mappings might be equally useful, we will focus our discussion on a class of algorithms that obtain implicit mappings by minimization of a cost function that includes measures of data mismatch and model variable mismatch.

This integrated model consistently reduced the data mismatch between the observed and calculated production, so that overcame the divergence problem in multi-objective optimization as well as the scale-dependency problem in single-objective optimization.

The AM adaptation has been documented to perform well in situations with a training and testing data mismatch [9, 10] when the commonly used approach is to adapt the existing AM to the new conditions.

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Similar(48)

Cross-layer data mismatches.

In fact, there are many data mismatches that make the description longer.

As a result to address data mismatches due to abstraction is at this time a very open challenge.

Specifically, as shown above we cannot address some of the data interoperability problems without reasoning about the architecture of the different systems and their protocols since architectural and protocol discrepancies are at the root of the data mismatches.

When data mismatches were detected, data were re-checked to determine the source of the mismatch and where possible this was corrected.

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