sensitive value

USAGE SUMMARY

The phrase "sensitive value" is correct and usable in written English.
It can be used in contexts related to data privacy, security, or any situation where certain information is considered confidential or requires careful handling. Example: "When handling sensitive value, it is crucial to ensure that proper security measures are in place to protect the information."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

11 human-written examples

We cap the belief of an adversary inferring a sensitive value in a published data set to as high as that of an inference based on public knowledge.

Knowledge-Based Systems

Hiding - Replaces sensitive value with a character (typically x) or constant value '0'.

Journal of Cloud Computing

This scheme sets its congestion window to a more sensitive value when different types of loss events occurred.

EURASIP Journal on Wireless Communications and Networking

The authors have modified the algorithm to overcome the skew in the sensitive value distribution of the resultant clusters using the K-nearest neighbor technique.

Data Science and Engineering

The KNN- G,S) clustering algorithm determines the KNN- G,Sst neighbors using the following equation from eaclusteringve valgorithmp andetermines KN records thethe clusters at a time.

Data Science and Engineering

{text{KN}} = left| {D_{i} } right|/{text{NOB}} where |D i | is the number of instances in each sensitive value subgroup ( left( {D_{i} } right) ); and NOB is the number of clusters.

Data Science and Engineering

Human-verified similar examples from authoritative sources

Similar Expressions

49 human-written examples

The top 5percentt of genes are significantly sensitively expressed, we took five percent of genes with lowest sensitive values as robust genes groups, and five percent of genes with highest SV were considered as sensitive genes.

BioMed Research International

However, for the usual values of the parameters, and close to "sensitive" values of the feed initiator concentration, this hypothesis does not apply, and the chain length sensitivities need to be obtained numerically.

Chemical Engineering Science

More sensitive values are more informative.

EURASIP Journal on Embedded Systems

The l-diversity model includes the promotion of intra-group diversity for sensitive values in the anonymization mechanism.

Journal of Big Data

The l-diversity model mandates that each equivalence class must have at least l well-represented sensitive values.

Journal of Big Data

Expert writing Tips

Best practice

When discussing "sensitive value", always clarify the specific type of sensitivity you're addressing, whether it's related to privacy, security, or data integrity.

Common error

Avoid using "sensitive value" without specifying the context. For instance, instead of saying 'handle the data as a "sensitive value"', specify 'handle the data as a "sensitive value" requiring encryption'.

Linguistic Context

The phrase "sensitive value" functions primarily as a noun phrase modified by an adjective. It identifies a specific type of data that requires special attention. As Ludwig AI suggests, it's usable in various contexts where data privacy and security are important.

Expression frequency: Common

Frequent in

Science

60%

News & Media

20%

Formal & Business

20%

Less common in

Encyclopedias

0%

Wiki

0%

Reference

0%

Ludwig's WRAP-UP

The phrase "sensitive value" is a common and grammatically correct term used to describe data that requires careful handling and protection. Ludwig AI confirms its usability across various contexts, particularly in science, news, and formal business settings. It's crucial to provide specific context when using the phrase to avoid overgeneralization. Alternatives like "confidential data" and "private information" can be used depending on the specific emphasis needed. Always consider the type of sensitivity involved, whether it's related to privacy, security, or data integrity, and take appropriate measures to protect the information.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

confidential data

Focuses specifically on the confidentiality aspect of the information.

private information

Emphasizes the privacy aspect of the data.

critical datum

Highlights the importance of the data point.

protected value

Emphasizes the need for security measures.

vulnerable data

Highlights the susceptibility of the data to breaches.

high-risk information

Focuses on the potential dangers associated with the information.

classified value

Suggests a formal classification level for the data.

restricted data

Indicates limitations on who can access the data.

regulated information

Highlights that the information is subject to regulatory control.

precious data

Emphasizes the data's great worth and the need to protect it.

FAQs

How is "sensitive value" typically used in data privacy contexts?

In data privacy, "sensitive value" usually refers to data points that, if disclosed, could lead to harm or discrimination. This includes personally identifiable information (PII) or protected health information (PHI).

What are some strategies for protecting a "sensitive value"?

Common strategies include anonymization, data masking, encryption, and access control. These methods reduce the risk of unauthorized access and potential misuse of "confidential data".

What's the difference between "sensitive value" and "personal data"?

"Personal data" is a broader term referring to any information relating to an identifiable person. A "sensitive value" is a subset of personal data that requires extra protection due to its potential for causing harm.

In what fields or contexts is the term "sensitive value" commonly used?

The term is frequently used in fields such as cybersecurity, data science, healthcare, and finance, where the protection of "private information" is paramount.