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data processing techniques
Grammar usage guide and real-world examplesUSAGE 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
Table of contents
Usage summary
Human-verified examples
Expert writing tips
Linguistic context
Ludwig's wrap-up
Alternative expressions
FAQs
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.
Science
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
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.
Science
Additionally, other data processing techniques such as digital filtering [30] should also be investigated.
Science
Enhancements to test methodology and data processing techniques are highlighted throughout.
Science
Therefore, to handle such an enormous amount of data, various big data processing techniques are required.
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
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.
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.
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.
More alternative expressions(6)
Phrases that express similar concepts, ordered by semantic similarity:
information processing methods
Emphasizes the broader concept of handling information, not just data.
data analysis procedures
Focuses specifically on the analytical aspect of data processing.
data manipulation strategies
Highlights the active modification of data.
computational data methods
Stresses the use of computation in processing data.
statistical data treatments
Specifically refers to statistical approaches to data processing.
data refinement processes
Implies improving the quality of the data through processing.
data transformation approaches
Highlights changing the form of the data.
algorithmic data handling
Focuses on the use of algorithms in data processing.
data mining methodologies
Specifically refers to techniques for discovering patterns in data.
data reduction methods
Emphasizes simplifying data through processing.
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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Table of contents
Usage summary
Human-verified examples
Expert writing tips
Linguistic context
Ludwig's wrap-up
Alternative expressions
FAQs
Source & Trust
81%
Authority and reliability
4.5/5
Expert rating
Real-world application tested