Massive data set

USAGE SUMMARY

The phrase "Massive data set" is correct and usable in written English.
It can be used when referring to a large collection of data that is typically analyzed for insights or patterns in various fields such as data science, research, or analytics. Example: "The researchers were able to uncover significant trends by analyzing the massive data set collected over the past decade."

✓ 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 discussing the scale of data, quantify "massive" whenever possible, e.g., "a dataset containing over 1 million records."

Common error

Avoid assuming that a "massive data set" automatically yields groundbreaking insights. The size alone does not guarantee valuable findings.

Linguistic Context

The phrase "massive data set" primarily functions as a noun phrase, acting as the subject or object in a sentence. Ludwig AI confirms its correct usage in various contexts, indicating its role in describing the scale of information analyzed or managed.

Expression frequency: Common

Frequent in

Academia

33%

News & Media

33%

Science

33%

Less common in

Formal & Business

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

The phrase "massive data set" is a grammatically sound and frequently used term for describing significantly large collections of data. As Ludwig AI confirms, it's suitable for academic, scientific, and general contexts. When employing this phrase, consider quantifying the scale of the dataset and avoiding assumptions about its inherent value. Alternatives like "large dataset" or "extensive data collection" can be used based on the specific nuance you wish to convey.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

Large dataset

Focuses primarily on the significant quantity of data.

Extensive data collection

Emphasizes the thoroughness and comprehensiveness of data gathering.

Vast data pool

Implies a large, readily available source of information.

Big data repository

Highlights the storage and management aspects of a substantial dataset.

Comprehensive data archive

Underscores the organized and preserved nature of the data.

Substantial information base

Emphasizes the informational content and foundation provided by the data.

Bulky data store

Refers to the large physical or digital storage space occupied by the data.

Unwieldy data volume

Conveys the difficulty in managing and processing the large quantity of data.

Ample data resource

Suggests the plentiful and valuable nature of the available data.

Gigantic data compilation

Highlights that data is collected and joined in one single set.

FAQs

How can I use "massive data set" in a sentence?

You can use "massive data set" to describe a large collection of data used for analysis. For example, "The researchers analyzed a "massive data set" to identify trends."

What are some alternatives to "massive data set"?

Alternatives include "large dataset", "extensive data collection", or "vast data pool", depending on the context.

Is it appropriate to use "massive data set" in formal writing?

Yes, "massive data set" is appropriate for formal writing, particularly in scientific, academic, and business contexts where large datasets are commonly discussed. However, provide specifics about the data when possible.

How does "massive data set" differ from "big data"?

"Massive data set" simply refers to a very large collection of data. "Big data" implies not only a large volume of data, but also challenges related to its velocity, variety, and veracity, requiring specific tools and techniques for processing.