About the concept and types of structured data mining

This article explores the concepts and types of structured data mining.

hello!

Today we will learn about the concept and types of structured data mining.

Structured data mining refers to the process of discovering hidden patterns, trends, and correlations in structured data and extracting meaningful information through them.

Below we will explain the concepts and types of structured data mining.

Concept of structured data mining

Structured data mining primarily targets structured data such as relational databases, spreadsheets, and tabular data.

This data is organized into rows and columns, with each column containing a specific type of data.

Structured data mining is used to analyze this structured data to extract and understand useful information.

Types of structured data mining

Regression Analysis

It is used to analyze the correlation between variables to understand and predict the impact of one variable on another.

Classification Analysis

It is used to classify data into predefined classes or categories and predict which category new data will fall into.

Clustering Analysis

It is used to group data with similar characteristics to identify patterns between data and understand differences between different clusters.

Association Rule Learning

It is used to discover relationships between items within a data set and use them to make predictions or derive rules.

Anomaly Detection

It is used to discover unexpected events or problems by detecting and analyzing outliers that deviate from normal patterns.

uses

Business Decisions

Extract valuable information from data for efficient decision-making in your business.

Customer Segmentation

We analyze and segment customer characteristics and establish marketing strategies tailored to specific customer groups.

Financial Forecast

In the financial sector, it is used for stock price prediction, credit scoring, and fraud detection.

Conclusion

Structured data mining is used to extract useful information from structured data, and plays an important role in decision-making and strategy formulation in various fields.

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