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Justyna Jupowicz-Kozak

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data processing techniques

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "data processing techniques" is correct and usable in written English.
You can use it when discussing methods or approaches used to manipulate and analyze data in various fields such as computer science, statistics, or data analysis. Example: "The research paper outlines several data processing techniques that can improve the accuracy of predictive models."

✓ Grammatically correct

Science

News & Media

Human-verified examples from authoritative sources

Exact Expressions

59 human-written examples

To evaluate selected data processing techniques, data were processed in the same order as type 1 experiments, with change in only one parameter for each time.

The features of these signals were obtained using data processing techniques with an identification process developed for the identification of the terrain type.

Reliable electronic nose systems rely on advanced data processing techniques.

There are several benefits of SQL integrated with MapReduce over conventional data processing techniques.

News & Media

Forbes

Visual analytics help to understand and solve the problems by applying advanced automatic data processing techniques.

'Surface data processing' section discusses surface data processing techniques including filtering, sequence recognition and decoding.

The exploitation of in-network data processing techniques can reduce the aforementioned complexities.

Additionally, other data processing techniques such as digital filtering [30] should also be investigated.

Enhancements to test methodology and data processing techniques are highlighted throughout.

Therefore, to handle such an enormous amount of data, various big data processing techniques are required.

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Human-verified similar examples from authoritative sources

Similar Expressions

1 human-written examples

At the same time, assuming enough people actually use these services, restaurants can apply sophisticated data-processing techniques to their customer relations strategies.

News & Media

The New York Times

Expert writing Tips

Best practice

When describing specific techniques, provide sufficient detail to allow readers to understand the process being used. Be precise and avoid ambiguity in your language.

Common error

Avoid using "data processing techniques" as a catch-all term. Instead, specify the particular techniques involved, such as "filtering", "normalization", or "machine learning", to provide clarity and precision.

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 processing techniques" functions as a noun phrase, typically serving as the subject or object of a sentence. It refers to the methods and approaches used to manipulate and transform data. Ludwig AI confirms its frequent and correct usage in various contexts.

Expression frequency: Very common

Frequent in

Science

89%

News & Media

9%

Formal & Business

2%

Less common in

Academia

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, "data processing techniques" is a grammatically sound and frequently used noun phrase referring to methods for manipulating and analyzing data. Ludwig AI confirms its widespread use across scientific, news, and business domains. While the phrase is generally formal, it's crucial to be specific about the techniques involved rather than using it as a general term. Remember to consider related phrases like "information processing methods" for alternative expressions. As illustrated by Ludwig's examples, this phrase is most effective when discussing the application and comparison of different methods in research, technical documentation, and professional settings.

FAQs

How can I use "data processing techniques" in a sentence?

You can use "data processing techniques" to refer to specific methods used to manipulate or analyze data. For example: "The study compared different "data processing techniques" for improving image resolution."

What's the difference between "data processing techniques" and "data analysis methods"?

"Data processing techniques" encompass a broader range of operations on data, including cleaning, transforming, and organizing. "Data analysis methods" specifically refer to techniques used to extract insights and draw conclusions from data. The former prepares the data, while the latter interprets it.

What are some examples of "data processing techniques"?

Examples of "data processing techniques" include data cleaning, data mining, data transformation, data reduction, filtering, normalization, and machine learning.

In what contexts is it appropriate to use the term "data processing techniques"?

The term "data processing techniques" is appropriate in academic papers, technical documentation, and professional reports where you need to refer to the methods used for manipulating data. It is common in science, engineering, and business contexts.

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Most frequent sentences: