pseudo data

USAGE SUMMARY

The phrase "pseudo data" is correct and usable in written English.
It can be used in contexts where you are referring to data that is not real or authentic, often used in discussions about data integrity or analysis. Example: "The research findings were based on pseudo data, which raised questions about their validity."

✓ Grammatically correct

Science

News & Media

Human-verified examples from authoritative sources

Exact Expressions

20 human-written examples

The first level of distinction between real and pseudo data science involves the difference between a query and an algorithm.

TechCrunch

There's a lot of pseudo data science being peddled by software companies that claim they can turn data into gold.

TechCrunch

Thus, scientific papers can be considered a pseudo data model for science.

Journal of Cheminformatics

The second level of distinction between real and pseudo data science concerns the notion of "model richness" used to create and understand predictive models.

TechCrunch

Wayson et al. [44] proposed a computationally intensive method for generating a large number of pseudo data of the dependent and independent variables in a biomass equation.

Carbon Balance and Management

By taking into account time lags between alarm variables, a correlation color map of the transformed or pseudo data is used to show clusters of correlated variables with the alarm tags reordered to better group the correlated alarms.

ISA Transactions

Human-verified similar examples from authoritative sources

Similar Expressions

40 human-written examples

Pseudo-data are generated under 22 simulated historical seismic events for the city of Taichung, Taiwan.

Computers, Environment and Urban Systems

A set of seismic-related statistical models is developed, using pseudo-data generated by an earthquake-engineering simulation model.

Computers, Environment and Urban Systems

The estimate of each subject's ability from this pseudo-data was taken to be the mean of its random draws.

Plosone

We counted the proportion of pairwise comparisons in the pseudo-data not resulting in ties that were correctly predicted by the pseudo-estimates of ability.

Plosone

For instance, if a task yielded a four-way tie for first, the scores of the subjects ranked two through four on this task in the pseudo-data were set equal to the score of the top-ranked subject.

Plosone

Expert writing Tips

Best practice

When using "pseudo data", clearly state the method of generation and its limitations to avoid misinterpretation.

Common error

Avoid treating "pseudo data" as a direct substitute for actual data in critical analyses without acknowledging potential discrepancies.

Linguistic Context

The phrase "pseudo data" functions primarily as a noun phrase, often serving as the subject or object of a sentence. Ludwig AI confirms its use in describing data that is not real but is used for simulation or testing.

Expression frequency: Uncommon

Frequent in

Science

75%

News & Media

20%

Formal & Business

5%

Less common in

Encyclopedias

0%

Wiki

0%

Reference

0%

Ludwig's WRAP-UP

In summary, "pseudo data" refers to data that is not real but serves as a substitute for various analytical purposes. As Ludwig AI confirms, it's mostly used in scientific and technical contexts, with occasional appearances in news and media. While grammatically correct, it's essential to use this term carefully and to clearly define how the "pseudo data" was generated and its limitations. Alternatives like "simulated data" or "synthetic data" may be more appropriate depending on the specific context. It’s essential to differentiate it from "fake data", which implies an intent to deceive. Proper usage and clear communication are critical when dealing with "pseudo data".

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

fake data

Implies a deliberate fabrication or misrepresentation of data.

simulated data

Refers to data generated to mimic real-world conditions for testing or modeling purposes.

synthetic data

Similar to simulated data but often implies a more complex generation process.

mock data

Suggests a simplified or temporary dataset used for demonstration or initial testing.

artificial data

Emphasizes the non-natural origin of the data, created by artificial means.

proxy data

Data that indirectly represents the information you are trying to obtain.

test data

Data specifically created to test the functionality or performance of a system or model.

dummy data

Basic data used to fill in a space when real data is unavailable.

placeholder data

Temporary data used to reserve space for future real data.

experimental data

Data produced during an experiment in order to study a particular phenomena.

FAQs

How is "pseudo data" typically used in scientific research?

"Pseudo data" is often used for simulations, preliminary testing, or when real-world data is unavailable or difficult to obtain. It helps researchers test hypotheses and refine models before applying them to real datasets.

What are some alternatives to using "pseudo data"?

Depending on the context, you could use "simulated data", "synthetic data", or "test data". The best alternative depends on the specific purpose and method of data generation.

Is "pseudo data" considered reliable for making critical decisions?

"Pseudo data" should not be used for making critical decisions without thorough validation and understanding of its limitations. It's essential to verify findings with real data whenever possible.

What's the difference between "pseudo data" and "fake data"?

"Pseudo data" is often generated for legitimate purposes like testing or simulation, while "fake data" implies intentional deception or misrepresentation. The key difference lies in the intent and application.