massive data set

USAGE SUMMARY

"massive data set" is correct and usable in written English.
You can use it when referring to a large collection of data. For example: "We are working with a massive data set of customer preferences to improve our product."

✓ Grammatically correct

Academia

News & Media

Science

Human-verified examples from authoritative sources

Exact Expressions

36 human-written examples

A massive data set like eBird's is useful in machine learning, where large amounts of data are used to train computers to make predictions and solve problems.

Cornell University

And at Gild she sought to correct the problem with the help of a massive data set and a proprietary algorithm.

Massachusetts Institute of Technology

Given a set of n data elements and p predictors, p and/or n can be large in many modern massive data set applications.

University of California, Berkeley

We show that these empirical procedures are applicable to real massive data set by employing Quasars and galaxies from the Sloan Digital Sky Survey.

Harvard University

There have been more than 3,200 downloads of the entire massive data set and almost a million downloads of the data sets containing images from brain scans.

The New York Times - Health

Because it was combing through a massive data set and, like all big-data search algorithms, had to sacrifice some precision for efficiency, it couldn't pinpoint just the three doctors identified by the six-month study.

Massachusetts Institute of Technology

Human-verified similar examples from authoritative sources

Similar Expressions

24 human-written examples

In addition, a massive increase in the uptake of electronic health records has made access to and analysis of massive data sets a reality (Murdoch and Detsky 2013).

Life Sciences, Society and Policy

The LEAS method can be scaled to massive data sets, the researchers said.

Cornell University

His research focuses on algorithms for massive data sets, verifiable computation and computational learning theory.

University of California, Berkeley

More recently, Blei has experimented with statistical techniques to extend probabilistic models to massive data sets.

Columbia University

T.S. Jayram's research interests are in massive data sets, computational complexity, and probabilistic databases.

University of California, Berkeley

Expert writing Tips

Best practice

When describing a "massive data set", specify its key characteristics, such as size, source, and purpose, to provide context.

Common error

Avoid using "massive data set" hyperbolically for datasets that are only moderately sized. Ensure the term accurately reflects the scale of the data.

Linguistic Context

The phrase "massive data set" functions as a noun phrase, typically serving as the subject or object of a sentence. It denotes a large collection of data points, as confirmed by Ludwig's examples.

Expression frequency: Common

Frequent in

Science

34%

Academia

33%

News & Media

33%

Less common in

Formal & Business

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

The term "massive data set" is a grammatically correct noun phrase used to describe a large collection of data. Ludwig AI confirms its validity and widespread usage across diverse fields. Predominantly found in scientific, academic, and news media contexts, this phrase effectively conveys the scale and complexity of the data being discussed. When using this term, it's crucial to ensure the dataset's size justifies its use. Consider related phrases like "large dataset" for scenarios where the scale is less extreme.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

large dataset

Uses the more common adjective 'large' instead of 'massive'.

extensive data collection

Focuses on the act of collecting a large amount of data.

huge volume of data

Emphasizes the sheer size of the data.

vast data resource

Highlights the data as a valuable resource.

big data repository

Uses 'repository' to describe a storage location for a large amount of data.

comprehensive data archive

Emphasizes the completeness and archival nature of the data.

substantial data holding

Employs 'holding' to denote possession of a large quantity of data.

significant data aggregation

Highlights the process of aggregating a large amount of data.

considerable data stockpile

Uses 'stockpile' to suggest a large, accumulated quantity of data.

broad data spectrum

Focuses on the diversity and range within the data.

FAQs

How can I effectively utilize a "massive data set" in my research?

Begin by defining clear objectives, then employ appropriate tools for data cleaning, analysis, and visualization. Consider using distributed computing frameworks for handling the scale.

What are some alternatives to saying "massive data set"?

You can use alternatives like "large dataset", "extensive data collection", or "huge volume of data" depending on the context.

What are the ethical considerations when working with a "massive data set"?

Ensure data privacy, obtain necessary permissions, and address potential biases in the data to avoid discriminatory outcomes. Adhere to ethical guidelines for data handling and analysis.

Is there a difference between "massive data set" and "big data"?

"Massive data set" refers primarily to the size of the data, while "big data" also encompasses the velocity, variety, and veracity of the data, requiring specialized technologies for processing.