massive dataset

USAGE SUMMARY

The phrase "massive dataset" is correct and usable in written English.
It can be used when referring to a large collection of data that is often analyzed for insights or patterns. Example: "The researchers were able to uncover significant trends by analyzing the massive dataset collected over the past decade."

✓ Grammatically correct

Science

News & Media

Human-verified examples from authoritative sources

Exact Expressions

16 human-written examples

Foursquare continues in its efforts to take advantage of its massive dataset today, with the launch of 'Explore' the web.

TechCrunch

After analyzing a massive dataset of 40 million posts from 12,000 users who installed the app, MyPageKeeper was found to correctly identify 97percentt of malicious posts.

TechCrunch

Experiments on a multi-node system show that the proposed parallel model allows efficient calculation of the LS factor at a regional scale with a massive dataset.

Computers & Geosciences

Special emphasis is posed on the analysis of the underlying data models we defined to handle massive dataset for providing vehicular traffic predictions.

Smart Sensors Networks Communication Technologies and Intelligent Applications

Experimental results on a massive dataset of real credit card transactions show that this framework is scalable, efficient and accurate over a big stream of transactions.

Information Fusion

In many practically important cases, a massive dataset can be represented as a very large graph with certain attributes associated with its vertices and edges.

Computational Statistics & Data Analysis

Human-verified similar examples from authoritative sources

Similar Expressions

44 human-written examples

Big data represents a new scale and complexity that might be achieved by combining massive datasets and analysing them to extract insight for charities and social purpose organisations.

The Guardian

"While massive datasets may feel very abstract," writes Kate Crawford, one of the most perceptive commentators on this stuff, "they are intricately linked to physical place and human culture.

The Guardian - Tech

If that really happened, they argue, it would initially strengthen the hand of Google: only huge firms would retain big enough distribution networks, and sufficiently massive datasets, to make advertising pay at all.

The Guardian - Tech

Does your pulse quicken when you think about solving problems involving massive datasets or the technical hurdles in making search more relevant, personalization more powerful and easier to use, and delivering news and information instantly to millions of people around the world?

The New York Times

The term was originally applied a decade ago to massive datasets from astrophysics, genomics and internet search engines, and to machine-learning systems (for voice-recognition and translation, for example) that work well only when given lots of data to chew on.

The Economist

Expert writing Tips

Best practice

When describing data analysis, specify what makes the "massive dataset" significant (e.g., its size, complexity, or the breadth of information it contains) to provide context for its importance.

Common error

Avoid using "massive dataset" as a generic term for any large dataset. Ensure the scale genuinely warrants the descriptor to maintain credibility.

Linguistic Context

The phrase "massive dataset" functions as a noun phrase, typically serving as the object of a verb or the complement of a preposition. Ludwig AI indicates that it correctly describes a large collection of data.

Expression frequency: Common

Frequent in

Science

62%

News & Media

31%

Formal & Business

7%

Less common in

Ludwig's WRAP-UP

The phrase "massive dataset" is a grammatically correct and commonly used term to describe an exceptionally large collection of data. As Ludwig AI confirms, the phrase is perfectly acceptable. It is particularly prevalent in scientific, news, and business domains, where the scale and complexity of data often require specific emphasis. Alternatives such as "large data set" or "extensive dataset" can be used depending on the specific context. When using "massive dataset", ensure that the scale of the data genuinely warrants the descriptor and provide relevant context about its significance to maintain clarity and credibility.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

large data set

Replaces 'massive' with 'large', indicating a substantial amount of data.

extensive dataset

Uses 'extensive' to highlight the comprehensive nature of the data.

huge dataset

Substitutes 'massive' with 'huge', implying a very large quantity of data.

immense dataset

Replaces "massive" with "immense", suggesting a vast and immeasurable amount of data.

vast dataset

Uses 'vast' to emphasize the scale and scope of the dataset.

gigantic dataset

Substitutes "massive" with "gigantic" to convey an extremely large size.

substantial dataset

Employs 'substantial' to denote a significant and considerable quantity of data.

big data

A more general term referring to extremely large and complex datasets.

extensive database

Shifts the focus to the organized collection of data, implying comprehensiveness.

comprehensive data collection

Emphasizes the thoroughness and completeness of the data gathering process.

FAQs

How can I use "massive dataset" in a sentence?

You can use "massive dataset" to describe a large collection of data being analyzed, such as, "The researchers analyzed a "massive dataset" of customer transactions to identify purchasing trends."

What is a good alternative to "massive dataset"?

Alternatives include "large data set", "extensive dataset", or "huge dataset", depending on the specific nuance you want to convey.

Is it appropriate to use "massive dataset" in formal writing?

Yes, "massive dataset" is appropriate in formal writing, especially in scientific and technical contexts, as it accurately describes the scale and scope of the data being discussed.

What distinguishes a "massive dataset" from a regular dataset?

A "massive dataset" is characterized by its volume, velocity, and variety, often requiring specialized tools and techniques for analysis, whereas a regular dataset can be managed with standard methods.