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data modifications

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "data modifications" is correct and usable in written English.
It can be used in contexts related to computing, databases, or any field where changes to data are discussed. Example: "The software update includes several data modifications to improve performance and security."

✓ Grammatically correct

Science

Science & Research

News & Media

Human-verified examples from authoritative sources

Exact Expressions

16 human-written examples

This database uses a B-tree index [10], updated during data modifications.

It works on serving to the agents after performing data modifications.

Data modifications, regardless of size or type, can easily be overlooked.

Science & Research

Science Magazine

In this situation, model changes are assumed to be a consequence of data modifications.

Taking into account statistical difficulties associated with the use of raw abundance data, modifications to the index were recently proposed.

Furthermore, if the data modifications are logged by the SP for versioning purposes, they can even be observed by attackers who compromise an SP just once.

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Human-verified similar examples from authoritative sources

Similar Expressions

44 human-written examples

Cheating, including: – Game application modification – Save data modification.

News & Media

TechCrunch

Assumptions for data modification   Model exercise  10.

For data modification, the MVCC mechanism is used [10].

The data integrity attack includes data modification attack, data corruption attack and data insertion attack.

Assumptions for data modification −Which assumptions are related to the modification of model input?

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Expert writing Tips

Best practice

When discussing alterations to datasets, be specific about the type of "data modifications" involved (e.g., corrections, updates, transformations) to provide clarity.

Common error

Avoid using "data modifications" as a vague catch-all term. Always specify the exact nature of the changes, such as 'data cleaning', 'data normalization', or 'data augmentation' to provide context and avoid ambiguity.

Antonio Rotolo, PhD - Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

81%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "data modifications" functions primarily as a noun phrase. It refers to the act or process of changing or altering data. Ludwig AI confirms its usability in English, especially in technical contexts. It generally serves as the object or subject of a sentence.

Expression frequency: Common

Frequent in

Science

56%

News & Media

22%

Formal & Business

11%

Less common in

Academia

5%

Encyclopedias

3%

Wiki

3%

Ludwig's WRAP-UP

In summary, "data modifications" is a grammatically sound and commonly used noun phrase that refers to the process of altering data. As Ludwig AI confirms, the phrase is correct and usable in English. Its primary contexts are science, news, and business, and it is often used in formal and scientific writing. When using the phrase, specify the type of modifications to enhance clarity and precision. Consider alternatives like "data alterations" or "data changes" for stylistic variation. Understanding these nuances ensures effective communication when discussing data management and analysis.

FAQs

How to use "data modifications" in a sentence?

You can use "data modifications" to describe alterations made to a dataset. For example, "The study analyzed the impact of various "data modifications" on the model's accuracy."

What is a good alternative to "data modifications"?

Alternatives include "data alterations", "data changes", or "data updates", depending on the specific context of the modification.

What are common types of "data modifications"?

Common types of "data modifications" include cleaning erroneous entries, normalizing values, transforming data formats, and imputing missing values.

Why are "data modifications" important?

"Data modifications" are crucial for improving data quality, ensuring accuracy, and preparing data for effective analysis or modeling.

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Source & Trust

81%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Most frequent sentences: