potentially useful information from large amounts of data.

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Data mining is a process of discovering implicit, previously unknown, and potentially useful Email List  information from large amounts of data. It combines multiple disciplines such as statistics, machine learning, databases, and pattern recognition to extract knowledge from data and support decision making.


Data preprocessing: data cleaning, conversion, integration, etc. to prepare high-quality data for subsequent analysis.
Data mining algorithms: principles and applications of association rule mining, classification, clustering, prediction and other algorithms.



Machine learning: supervised learning, unsupervised learning, reinforcement learning and other machine learning techniques.
Database system: database design, SQL language, data warehouse, etc.

Job prospects for data mining majors
With the advent of the big data era, the demand for data mining talents is growing. Data mining graduates can find employment opportunities in the following fields: