relevance data

USAGE SUMMARY

The phrase "relevance data" is correct and usable in written English.
It can be used in contexts where you are discussing data that is pertinent or applicable to a specific topic or situation. Example: "In our analysis, we focused on relevance data to ensure our findings were applicable to the current market trends."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

17 human-written examples

Where methods like programmatic payoff is relevance – data pairs video ads with relevant content and users, something which is unattainable with linear TV on an individual basis.

Huffington Post

Amongst others cAMP response element-binding protein (CREB), activating transcription factor (ATF-2), c-Jun, hepatic leukemia factor (Hlf), and germ cell nuclear factor (GCNF) were marked as relevant, FOXC1, Nkx2-2, Nkx2-5, and Nkx6-1 were displayed with low relevance (data not shown).

BMC Clinical Pathology

It is also important to note that the tags for both datasets are not necessarily provided by expert users, thus, our relevance data can be considered "noisy".

EURASIP Journal on Audio, Speech, and Music Processing

Table 1 Data relevance Data relevance DR Transmission service Critical 2 Full-reliable Complementary 1 Semi-reliable Auxiliary 0 Unreliable Figure 2 Proposed relevance-based partial reliability approach.

EURASIP Journal on Wireless Communications and Networking

The reward calculation procedure as described earlier may also be sufficient in determining "important" or "difficult" with identifying edges or links of distinctive relevance data for classifying purposes.

Journal of Big Data

Clinical Relevance: Data from this study may be useful for the arthroscopic surgeon in choosing the proper anchor construct for osteoporotic bone.

Arthroscopy: The Journal of Arthroscopic & Related Surgery

Human-verified similar examples from authoritative sources

Similar Expressions

42 human-written examples

Experimental results on pseudo-relevance data and real-world data demonstrate that our method gains promising performance in terms of effectiveness as well as efficiency.

Neurocomputing

Firstly, this involves the problem of helping users to more easily find and understand the relevance of data, especially data from outside their domain.

Future Generation Computer Systems

This guidance should provide a transparent and science-based method to assess the reliability and relevance of data on NP (eco) toxicity data.

Environmental Sciences Europe

Quality of information (QoI) in sensor networks measures information attributes such as precision, timeliness, completeness, and relevance of data ultimately delivered to users.

Pervasive and Mobile Computing

But think like a tech chief executive, using the key values of relevance, synergy, data and growth.

The New York Times - Tech

Expert writing Tips

Best practice

When using "relevance data", clearly define the criteria for relevance to ensure your audience understands why the data is considered pertinent.

Common error

Avoid assuming the audience automatically understands the relevance of the data. Always provide context and explain why the data is significant to the discussion.

Linguistic Context

The phrase "relevance data" functions as a noun phrase that modifies a noun or acts as a subject/object, specifying that the data being referred to is not just any data, but data that is pertinent and applicable to a particular context. As Ludwig AI points out, the phrase is correct and usable in written English.

Expression frequency: Rare

Frequent in

Science

75%

News & Media

17%

Formal & Business

8%

Less common in

Encyclopedias

0%

Wiki

0%

Reference

0%

Ludwig's WRAP-UP

In summary, "relevance data" denotes information that is pertinent and applicable to a specific context. Ludwig AI confirms its correctness and usability, though its frequency is rare, appearing mostly in scientific, news, and formal business contexts. To enhance clarity in writing, define the criteria for relevance and explain the data's significance to avoid ambiguity. While alternatives like "pertinent data" and "applicable data" exist, the core concept remains emphasizing the importance of contextual connection.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

pertinent data

Focuses on the direct applicability of the data to a specific situation.

relevant information

Emphasizes the informative nature of the data and its connection to the topic.

applicable data

Highlights the suitability of the data for a particular purpose or context.

germane data

Indicates data closely related and appropriate to the matter at hand; more formal.

suitable data

Stresses the fitness of the data for a given requirement or analysis.

appropriate data

Suggests the data is well-suited and correct for the situation.

connected data

Highlights the data's link or association to the subject.

significant data

Emphasizes the importance and noteworthiness of the data.

critical data

Highlights the data that is crucial and essential.

key data

Focuses on the most important or central data points.

FAQs

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

You can use "relevance data" to emphasize the importance and applicability of specific information within a broader context. For example: "In our analysis, we focused on "relevance data" to ensure our findings were applicable to the current market trends."

What are some alternatives to "relevance data"?

Alternatives to "relevance data" include "pertinent data", "relevant information", or "applicable data", depending on the nuance you wish to convey.

How do I determine if data is actually "relevance data"?

To determine if data qualifies as "relevance data", assess its direct impact and connection to the topic. Ask if the data significantly informs or changes the understanding of the subject at hand.

What makes "relevance data" different from just "data"?

"Relevance data" specifically highlights data that are directly and meaningfully connected to the subject, unlike general "data", which may be unrelated or less important.