The phrase "ameliorated data" is correct and usable in written English.
It can be used when referring to data that has been improved or made better in some way, often in the context of analysis or processing.
Example: "The researchers presented their findings based on the ameliorated data collected from the latest experiments."
Alternatives: "enhanced data" or "improved data".
The last way is to ameliorate data processing strategy.
The following section outlines key considerations pertaining to the design, implementation, and interpretation of local surveys that could ameliorate data coverage and compatibility problems, paving the way for increasingly integrated studies of AIV and other wildlife diseases.
This design supports the trend to keep more years of more finely grained data online by ameliorating the data explosion problem.
To address these issues a hybrid model employing rough set (RS) with back-propagation neural network (BPNN) is used to ameliorate the data fusion capability of the system with an illustrative example.
Recent examples of challenging the conclusions of the scientific community - such as MMR episode [1] or the Climate-Gate emails [2] - plus various examples of scientific fraud, are all events that could have been ameliorated if their data were open for review.
These types of data handling issues have muddled many areas of genomics and can be ameliorated by giving others data, allowing them to apply a different classifier.
For example, the impact of variance in expression measurements could be ameliorated by aggregating multiple data points when using multiple genes for prediction [ 9].
Similar findings were observed at sensitivity analyses considering progression to micro- or macroalbuminuria in patients with persistent hyperfiltration as compared with those who had their hyperfiltration at inclusion ameliorated at month 6 (data not shown).
In order to improve the performance of conventional ANFIS to handle noisy data, we focus on ameliorating the cluster-data space established from a given dataset.
It avoids many well-known problems with expenditure data, ameliorates the impact of changing survey designs, and enables an analysis of the behavior and membership of classes over time.
