artificial data

USAGE SUMMARY

"artificial data" is a correct and usable phrase in written English.
It refers to data that has been created or generated artificially, rather than collected through natural means. Example: The researchers used a computer program to generate artificial data for their study, as it would have been unethical to collect real data from human subjects.

✓ Grammatically correct

Science

Academia

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

A demonstration with artificial data of the sensitivity graph transduction exhibits for certain initial label settings.

Columbia University

New approach can help organizations scale their data science efforts with artificial data and crowdsourcing.

Massachusetts Institute of Technology

The paper also illustrates the use of artificial data to debug and compare these algorithms.

Artificial Intelligence

We also investigate numerous routes for improving accuracy with our CNN classifier including object segmentation and artificial data generation.

University of California, Berkeley

With the example of artificial data, similarity measure calculation was carried out.

Procedia Computer Science

The performance of the technique is demonstrated in artificial data and in the healthy human brain.

NeuroImage

We present experiments with artificial data and real-world gene expression data to evaluate the method.

Neural Networks

We then simulated a two-dimensional artificial data.

Smart Learning Environments

The 'Experiments on artificial data sets' section supplies results obtained on artificial data sets, which emphasize the key features of the HL-KAOG.

Journal of the Brazilian Computer Society

Table 1 Summary of artificial data streams used in presented experiments Name d N Stationary?

Journal of Big Data

Table 1 summarizes the artificial data streams used in the presented results.

Journal of Big Data

Expert writing Tips

Best practice

Always acknowledge the limitations of using "artificial data" compared to real-world data, especially regarding the generalizability of your findings.

Common error

Avoid presenting conclusions derived from "artificial data" as definitive insights into real-world phenomena. Instead, emphasize that such data serves as a controlled environment for testing hypotheses or illustrating concepts.

Linguistic Context

The phrase "artificial data" functions primarily as a noun phrase, often serving as the subject or object of a sentence. It describes a specific type of data that is not naturally occurring but has been created for a particular purpose. Ludwig AI confirms its proper usage in various contexts.

Expression frequency: Very common

Frequent in

Science

65%

Academia

30%

Formal & Business

3%

Less common in

News & Media

1%

Encyclopedias

0%

Wiki

1%

Ludwig's WRAP-UP

In summary, "artificial data" is a widely used term, as evidenced by Ludwig's numerous examples, primarily within scientific and academic domains. It accurately describes data generated for testing or simulation, offering a controlled environment for research. While results from "artificial data" should be cautiously applied to real-world scenarios, its role in hypothesis testing and algorithm development is invaluable. Related phrases like "synthetic data" and "simulated data" offer similar meanings, and using transparent generation methods is crucial for its effective application. Ludwig AI confirms its proper and frequent use in diverse contexts, making it a valuable term in research and development.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

synthetic data

Replaces "artificial" with "synthetic", emphasizing the manufactured or constructed nature of the data.

simulated data

Focuses on the data being generated through simulation processes.

generated data

Highlights the act of data creation, implying it wasn't naturally occurring.

fictitious data

Emphasizes the unreal or invented nature of the data.

manufactured data

Suggests a deliberate creation or production of the data.

engineered data

Highlights the careful design and construction of the data.

contrived data

Suggests the data was created in a way that seems planned or forced.

mock data

Implies the data is a representation or imitation of real data.

dummy data

Suggests the data is placeholder or used for testing purposes.

pseudo data

Emphasizes that the data resembles real data but is not genuine.

FAQs

How can I use "artificial data" in a sentence?

You can use "artificial data" to describe datasets generated for testing or simulation purposes. For example, "The algorithm's performance was evaluated using "artificial data" with varying noise levels."

What is the difference between "artificial data" and "synthetic data"?

While often used interchangeably, "artificial data" generally refers to any non-real data, while "synthetic data" specifically implies data generated to mimic the statistical properties of real data. The distinction can be subtle and context-dependent.

What are the benefits of using "artificial data" in research?

Artificial data allows researchers to control variables, simulate scenarios that are difficult or unethical to replicate in the real world, and protect sensitive information by avoiding the use of real personal data.

Can results obtained from "artificial data" be directly applied to real-world situations?

Results from "artificial data" should be interpreted with caution. While they can provide valuable insights and test hypotheses, the artificial nature of the data means that findings may not always generalize directly to complex, real-world scenarios. Further validation with real data is often necessary.