The phrase "a large amount of users" is not correct in standard written English.
The correct expression should use "number" instead of "amount" since "users" is a countable noun.
Example: "The application has a large number of users who rely on its features daily."
Alternatives: "a significant number of users" or "a high volume of users."
There are plenty of examples of this process taking place – SQL server and Exchange server are traditional computing-hogs, especially when used by a large amount of users.
The analysis revealed a large amount of users had chosen "easy-to-crack" passwords, the most common being "123456", which was chosen by 290,731 users, or almost 1%.
All servers are connected to the network of the OTH with a large amount of users at university campus.
A: If you have a group that has less than a large amount of users, it's free.
Zumeo has over 500 users; but only about 15 recruiters at the moment, which seems low for such a large amount of users.
SONLAB data structures and algorithms are designed to perform network performance analysis, such as load and SINR computations for a large amount of users and cells, within a few seconds.
However, such an awareness of knowledge needs has been achieved at a high cost since most existing methods rely on the manually defined rules or a large amount of user data to work.
Due to a large amount of user complaints, library support was removed, which also decreased the size of Usgard somewhat (libraries in Usgard were somewhat unfriendly to programmers for several reasons, especially the use of a specialized, very slow calling mechanism).
Specifically, we conduct a measurement study of Douban, a popular online social network that hosts a large amount of user reviews on movies, and our analysis of this OSN provides strong empirical evidence of the association between users' content interests and their online social friend relationship.
There are a few quad meshing approaches that offer some mechanisms to include the user in the mesh generation process; however, these techniques either require a large amount of user interaction or do not provide necessary or easy to use inputs.
In recent years, the massive diffusion of social networks has made available a large amount of user-generated content, for the most part in the form of textual data that contain people's thoughts and emotions about a great variety of topics.
