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The phrase "a much smaller database" is correct and usable in written English.
You can use it when comparing the size of a database to another, indicating that it is significantly less in size.
Example: "For this project, we will be using a much smaller database to streamline our data processing."
Alternatives: "a significantly reduced database" or "a considerably smaller dataset."
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The Swiss originally balked at the proposal and, in March, authorized the creation of a much smaller database that included only 46,000 accounts.
While a huge number of RNA sequences are known, there is a much smaller database of three-dimensional (3D) RNA structures.
Similar(58)
Instead of having to upload your thousands of MP3s, iTunes may be able to simply check your (much smaller) database file and recreate it online using a central repository of music (in other words, no huge uploads).
Due to the much smaller database sizes, we can therefore greatly reduce the required processing time for updates.
It is to be remarked that these values are obtained with a database with a large number of images, while other authors use much smaller databases.
Nearly lossless reconstruction of the signal is achieved by using K-SVD with less than 0.1% reserved coefficients, which gives evidence that dictionary learning technologies are feasible to guarantee the same level of information even with much smaller databases.
For this study, we only use protein interactions in the HAPPI database with star grade of 3 and higher (consisting of more than 280,000 human protein interactions of primarily physical interactions), which are comparable to the overall quality of HPRD, a much smaller reference human protein interaction database commonly used in bioinformatics.
Covering a longer time period but a much smaller number of countries, the Immigration Policy database (ImPol) by Mezger and Gonzalez-Ferrer (2013) measures immigration policy changes of France, Italy, and Spain across five different migrant entry channels (irregular entry, short stay, family reunification, study, and work) since the 1960s.
The hierarchy aspects approach also provided interesting results in a larger database setting, providing a much smaller set of features than the term-based approaches, being interesting for systems that performs the item similarity calculation online and requires faster results.
A previous analysis of the database based on a much smaller patient population focused on risk of congestive heart failure among users of older oral antidiabetes drugs and insulin.
These high-level annotations are also captured in the databases, but to a much smaller degree than the essential data types.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com