lost useful information

USAGE SUMMARY

The phrase "lost useful information" is correct and usable in written English.
It can be used when referring to information that has been misplaced or is no longer accessible, which was previously valuable or beneficial. Example: "During the data transfer, we lost useful information that was critical for our analysis."

✓ Grammatically correct

Science

News & Media

Human-verified examples from authoritative sources

Exact Expressions

1 human-written examples

We may therefore have lost useful information about physical activity habits outside of the group exercise sessions during the 6-month rehabilitation programme.

BMC Musculoskeletal Disorders

Human-verified similar examples from authoritative sources

Similar Expressions

57 human-written examples

The smoothing degree is carefully controlled so that the noise can be removed without losing useful information.

EURASIP Journal on Image and Video Processing

These data processing methods always lose useful information and mislead the understanding of the system's state.

Physics Letters A

Because in doing so, we may indeed lose useful information.

Huffington Post

Such degenerated strategies may lose useful information in the instance spaces, and this further hurts prediction performance [ 5, 12].

BioMed Research International

Compared to TDOCT, FDOCT has proven to have dramatically improved system sensitivity [ 10– 12], thereby affording much higher imaging speed while without losing useful information about the sample.

Biomedical Optics Express

The selection of six gait features could lose useful information about gait symmetry while the initially defined gait pattern could contain more redundancy information, which can destroy the classification performance of SVM.

BioMed Research International

The only possible way of solving the geometrical interpretation problem is the decreasing of dimensionality without losing much useful information from the sensor structure (information about points' clustering for our work).

Nanoscale Research Letters

Too little regularization is only marginally helpful by making the covariance matrices barely invertible and still too rigid a fit for the original distributions, while too much regularization can erase the correlation coefficients from the original distribution, losing potentially useful information.

Plosone

Since the feature extraction process of the SVD-based method loses much useful information, lower performance is obtained compared with SVM benchmark.

BioMed Research International

It is concluded that the new approach produces reasonable results considering input weights and the logicality between inputs and outputs without losing too much useful information in the inference process.

Ocean Engineering

Expert writing Tips

Best practice

When discussing data analysis or research, use "lost useful information" to highlight the negative impact of data processing methods that might discard valuable insights.

Common error

Avoid using "lost useful information" when the information was never actually obtained or present. The phrase implies a previous state of possession or availability.

Linguistic Context

The phrase "lost useful information" primarily functions as a descriptor, highlighting the negative consequence of data processing or decision-making where valuable data is discarded. As stated by Ludwig AI, the phrase is correct and usable in written English.

Expression frequency: Common

Frequent in

Science

75%

News & Media

20%

Formal & Business

5%

Less common in

Academia

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

The phrase "lost useful information" is grammatically sound and commonly used to express concern over the absence or unavailability of valuable data. As Ludwig AI confirms, this phrase is suitable for written English. It frequently appears in scientific and news contexts, emphasizing the negative impact of data processing methods that discard important insights. To prevent this, carefully evaluate data techniques and transformation to preserve features. Alternatives like "forfeited valuable data" or "misplaced crucial data" can be used to convey similar meanings. Be mindful to use it when information was previously obtained.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

forfeited valuable data

Emphasizes the act of giving up or surrendering valuable data.

misplaced crucial data

Highlights the accidental loss or misplacement of critical data.

discarded key insights

Focuses on the removal or rejection of important insights.

sacrificed important knowledge

Implies a deliberate choice to give up essential knowledge.

squandered significant data

Suggests a wasteful or reckless loss of significant data.

abandoned essential information

Conveys the act of leaving behind or neglecting essential information.

forgotten critical details

Highlights the unintentional loss of critical details due to memory failure.

overlooked significant facts

Emphasizes the failure to notice or consider important facts.

erased valuable insights

Suggests the complete removal of valuable insights, possibly unintentionally.

neglected essential facts

Implies a lack of attention or care towards essential facts, leading to their loss or irrelevance.

FAQs

How can I rephrase "lost useful information"?

Alternatives include "misplaced crucial data", "discarded key insights", or "forfeited valuable data", depending on the specific context.

Is it correct to say "useful information was lost"?

Yes, "useful information was lost" is grammatically correct and conveys the same meaning as "lost useful information". The passive voice emphasizes the information rather than the agent that caused the loss.

What does it mean to "lose useful information" in data analysis?

In data analysis, "lost useful information" means that data processing or transformation techniques have discarded or obscured valuable insights, potentially leading to inaccurate conclusions or missed opportunities.

How can I prevent "losing useful information" during data processing?

To prevent "losing useful information", carefully evaluate data processing techniques, ensure that data transformations are reversible or preserve key features, and validate the results against the original data whenever possible.