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Author: Admin | 2025-04-28
1. Fundamental Principles1.1. Definition of Data MiningData mining was first proposed at the 11th International Joint Conference on Artificial Intelligence in 1989. The concept of data mining originated from machine learning, database systems, pattern recognition and statistics.The emergence of very large-scale databases makes it necessary to develop automating data collection methods to cope with the large amount of data. The rapid advances in computer technology, including faster and stronger computility, as well as the emergence and development of parallel architecture, lay a solid foundation for data mining technology. In addition, the realization of high speed data access and the deepening application of statistical methods in the field of data processing further promote the research of data mining technology. The birth of data mining technology is the result of the demand for information processing in the era of big data. The era of big data generates a large amount of data that can be widely used, and there is an urgent need for a technology to transform this data into useful information and knowledge.Data mining technology is a technology that explores the potential of data by classifying and grouping related data and discovering the patterns and relationships between data. It includes three basic parts: data preparation, exploring data patterns, and data expression. The prerequisite work before launching data mining is to set up the mining model and mining engine so that it can achieve data classification, grouping and patterns discovering as expected. The focus of data mining is on data preprocessing, which is the foundation of the entire data mining application, and its quality directly affects the final result [1].Data mining can be defined from both technical and commercial perspectives. From a technical perspective, the process of extracting obvious or potentially useful information and knowledge from massive amounts of data is
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