data mining techniques

USAGE SUMMARY

The phrase "data mining techniques" is correct and usable in written English.
You can use it when discussing methods or processes used to extract useful information from large datasets. Example: "The research team employed various data mining techniques to uncover patterns in consumer behavior."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

55 human-written examples

He said the company seemed to use data mining techniques to obtain "private, confidential information unrelated to copyright infringement".

The New York Times

Increasingly, the government uses "data mining" techniques to identify providers and claims that pose the greatest risk of fraud.

The New York Times

This is achieved using data mining techniques.

EURASIP Journal on Information Security

Data mining techniques, such as clustering and classification, were employed.

Journal of Transport Geography

It includes both predictive and descriptive data mining techniques.

Complex & Intelligent Systems

Soil characteristics are studied and analysed using data mining techniques.

Journal of Big Data

One of the significant data mining techniques is clustering.

Future Computing and Informatics Journal

Human-verified similar examples from authoritative sources

Similar Expressions

4 human-written examples

That is to say, use data-mining techniques to not rummage through everything.

The New York Times

He promoted wind power and deployed modern data-mining techniques to cut crime in the capital.

The Economist

Despite the hype, most examples appear simply to be more sophisticated versions of old-fashioned data-mining techniques, at least for now.A more promising trend is the adaptation of data-mining techniques to unstructured data.

The Economist

"Brief overview of data-mining techniques used" section describes the brief overview of data-mining techniques that are used.

Human-centric Computing and Information Sciences

Expert writing Tips

Best practice

When discussing specific applications, clarify which "data mining techniques" are employed, such as clustering, classification, or regression, to provide greater detail.

Common error

Avoid stating that "data mining techniques" are universally applicable without considering the specific dataset and objectives. Different techniques are suited for different data types and analytical goals.

Linguistic Context

"Data mining techniques" functions primarily as a noun phrase, often serving as the subject or object of a sentence. It refers to a collection of methods used to discover patterns and insights from data. Ludwig AI indicates that this phrase is grammatically sound and appropriate for use in various contexts.

Expression frequency: Very common

Frequent in

Science

67%

News & Media

15%

Formal & Business

8%

Less common in

Academia

5%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, the phrase "data mining techniques" is a grammatically sound and very common term used to describe methodologies for extracting valuable insights from data. Ludwig AI confirms its validity and widespread usage across various domains. Predominantly found in scientific and technical contexts, this term is essential for discussing analytical processes in research, business, and technology. When using the phrase, it's beneficial to specify the exact techniques applied to ensure clarity and avoid overgeneralization.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

data analytics methods

Focuses more broadly on the methods used in data analysis, encompassing more than just mining.

knowledge discovery processes

Emphasizes the overall process of uncovering knowledge, of which data mining is a part.

pattern recognition algorithms

Highlights the algorithmic aspect of identifying patterns in data.

predictive modeling approaches

Focuses specifically on techniques used to build predictive models from data.

statistical learning methods

Highlights the statistical foundation of these methods.

information extraction strategies

Highlights the process of extracting relevant information from data.

big data analysis tools

Focuses on the tools used for analyzing large datasets.

machine learning algorithms

Emphasizes the machine learning aspect of data analysis.

business intelligence methods

Focuses on the application of data analysis techniques to business contexts.

computational intelligence techniques

Broader term encompassing various computational methods for problem-solving including data mining.

FAQs

How can I effectively use "data mining techniques" in a sentence?

Use "data mining techniques" to describe the specific methods applied to extract useful information from large datasets. For instance, "The company employed various "data mining techniques" to identify customer behavior patterns".

What are some alternatives to saying "data mining techniques"?

Depending on the context, you could use phrases like "data analytics methods", "knowledge discovery processes", or "pattern recognition algorithms".

Are "data mining techniques" only applicable to large datasets?

"Data mining techniques" are most effective and typically used with large datasets, but can be applied, with varying degrees of success, to smaller datasets as well. The value derived from these techniques increases with data volume.

What is the difference between "data mining techniques" and machine learning?

While there is overlap, ""data mining techniques"" is a broader term that encompasses various methods for extracting patterns and insights from data, while machine learning focuses on algorithms that allow computers to learn from data without being explicitly programmed. Machine learning is often used within data mining.