Paper
1 June 2023 The application of data mining in data analysis
Rensi Chen
Author Affiliations +
Proceedings Volume 12625, International Conference on Mathematics, Modeling, and Computer Science (MMCS2022); 1262521 (2023) https://doi.org/10.1117/12.2670423
Event: International Conference on Mathematics, Modeling and Computer Science (MMCS2022),, 2022, Wuhan, China
Abstract
In the context of the new era, the scale of computer hardware and system complexity began to change, the emergence of super-capacity storage equipment and multi-core CPU in the market, which makes it possible to store and process massive information on the computer. However, software development alone cannot solve the technical problems in reality. Therefore, according to the complex data in practice and exploration, researchers deeply discuss how to establish an effective method to process and use the existing data information, so that it can play its due role in all enterprises. Therefore, on the basis of understanding the concept of data mining and its content form, this paper mainly discusses how to apply embodied data mining technology algorithm in data analysis, taking power quality monitoring data analysis as an example. The experimental results show that data mining is effective in data analysis.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Rensi Chen "The application of data mining in data analysis", Proc. SPIE 12625, International Conference on Mathematics, Modeling, and Computer Science (MMCS2022), 1262521 (1 June 2023); https://doi.org/10.1117/12.2670423
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KEYWORDS
Data mining

Data analysis

Databases

Data processing

Analytical research

Air temperature

Neural networks

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