Data Scraping Encyclopedia>Data Scraping Noun> Data Categorization

Data Categorization | Web Scraping Tool | ScrapeStorm

2025-03-24 10:28:25

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Abstract：Data Categorization refers to the process of dividing a large amount of data into different categories or groups according to certain standards or characteristics. ScrapeStormFree Download

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Introduction

Data Categorization refers to the process of dividing a large amount of data into different categories or groups according to certain standards or characteristics. This process is usually based on the attributes, purpose, source or other relevant characteristics of the data, and aims to improve the efficiency of data management, facilitate data analysis and utilization, and meet specific business needs or compliance requirements. Through data classification, we can better understand the structure and content of the data, so as to more effectively manage data and support decisions.

Applicable Scene

Data Categorization is suitable for scenarios that require large amounts of complex data to be organized, understood, and managed, such as data analysis, data mining, machine learning, and other fields.

Pros: It can simplify data, improve data interpretability, help discover regularities and patterns in data, and provide strong support for decision-making.

Cons: Problems such as unbalanced categories and blurred boundaries may occur. At the same time, the selection and implementation of the classification algorithm may also affect the accuracy and efficiency of the classification.