data summarization

USAGE SUMMARY

The phrase "data summarization" is correct and usable in written English.
You can use it when referring to the process of condensing and presenting data in a simplified format for easier understanding or analysis. Example: "The report includes a section on data summarization to highlight the key findings from the research."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

39 human-written examples

Table 2 Data summarization Data name # Cls.

Complex & Intelligent Systems

A prototype project of data summarization ontology-based Query by Examples (QBE) for summarizing the data incompleteness demonstrates the effectiveness of the proposed framework.

Expert Systems with Applications

Table 4 Data summarization Game name # Cls.

Complex & Intelligent Systems

The idea of data summarization is simple.

Journal of Big Data

This paper discusses the design of data summarization query system.

Expert Systems with Applications

Figure 2 Periodic data summarization at two different granularity levels.

EPJ Data Science

Human-verified similar examples from authoritative sources

Similar Expressions

21 human-written examples

Apart from rNO samples, which appeared to have narrower IQRs, all the rest of the samples had comparable data summarizations.

BMC Medical Genomics

In addition, due to massive video data, video summarization is a necessary stage to organize video data and implement a meaningful rapid navigation of video.

EURASIP Journal on Image and Video Processing

This method was applied to all the normalized and filtered microarray intensity data after summarization of the 22,814 probes in the training set (retaining only the maximum intensity value for those genes represented by more than one probe and eliminating those probes without a gene symbol).

EJNMMI Research

After the run, image analysis, sequencing quality evaluation and data production summarization were performed with Illumina/Solexa Pipeline.

BMC Genomics

Yan Cui was responsible for data analysis, summarization of results, and manuscript preparation.

Environmental Health: A Global Access Science Source

Expert writing Tips

Best practice

Use visuals, such as charts and graphs, to enhance the effectiveness of your data summarization. Visual aids can make complex data more accessible and easier to understand.

Common error

Don't oversimplify the data to the point where key insights are lost. Ensure your "data summarization" captures the essence of the information without sacrificing crucial details.

Linguistic Context

The phrase "data summarization" functions primarily as a noun phrase. It refers to the process or act of condensing data into a more concise and manageable form. Ludwig examples show its use in describing techniques and systems related to this process.

Expression frequency: Common

Frequent in

Science

75%

News & Media

15%

Formal & Business

10%

Less common in

Encyclopedias

0%

Wiki

0%

Reference

0%

Ludwig's WRAP-UP

In summary, "data summarization" is a grammatically sound and frequently employed noun phrase that refers to the process of condensing data into an easily understandable format. As Ludwig AI confirms, it is widely utilized across diverse fields, particularly in scientific and academic contexts. To enhance clarity in writing, remember to identify the purpose of the summary and avoid oversimplification. Alternatives such as "data aggregation" or "information condensing" can be used depending on the specific nuance you wish to convey. Using visualizations alongside text, can help to transmit effectively your communication.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

synopsis of data

Suggests a brief overview or summary of the data's main points.

data overview

Highlights the presentation of a general picture of the data, without delving into specifics.

data aggregation

Focuses more on the process of gathering data together, rather than the final summarized form.

information condensing

Emphasizes the reduction of information to its most essential parts.

data distillation

Implies refining data to extract the most important information.

data consolidation

Highlights the process of combining data from multiple sources into a single, coherent summary.

data briefing

Conveys a short, informative summary of data, often for decision-making.

report abstraction

Refers to creating a simplified version of a report, focusing on key insights.

data synthesis

Focuses on combining different elements of data into a unified whole.

executive summary

Specifically tailored for executives, highlighting key takeaways for quick understanding.

FAQs

How can I effectively use "data summarization" in a report?

Begin by identifying the key insights and trends within the data. Then, use clear and concise language to present these findings, supplementing with visuals where appropriate. Remember to tailor the level of detail to your audience.

What are some alternatives to "data summarization"?

You can use alternatives like "data aggregation", "information condensing", or "synopsis of data", depending on the context.

What is the purpose of "data summarization" in research?

In research, "data summarization" helps to condense large datasets into manageable and understandable formats. This allows researchers to identify patterns, draw conclusions, and communicate findings more effectively.

What's the difference between "data summarization" and "data analysis"?

"Data summarization" focuses on condensing and presenting data in a simplified format, whereas "data analysis" involves a deeper investigation of the data to uncover insights, patterns, and relationships.