main webpage W Topic Data Mining Applied Mathematics and Nonlinear Sciences • Vol 9 • No 1 An Exploration of the Application of Principal Component Analysis in Big Data Processing 2024 Abstract With the arrival of the significant data era, efficiently processing large-scale multidimensional data has become challenging. As a powerful data dimensionality reduction tool, Principal Component Analysis (PCA) plays a vital role in big data process… Article Open Data Mining Open Article Page

Data Mining

Process of extracting and discovering patterns in large data sets Data mining is the process of extracting and finding patterns in massive data sets involving methods at the intersection of machine learning, statistics, and database systems. Data mining is an interdisciplinary subfield of computer science and statistics with an overall goal of extracting information (with intelligent methods) from a data set and transforming the information into a comprehensible structure for further use. Data mining is the analysis step of the "knowledge discovery in databases" process, or KDD. Critical Symbolic Virtual Narrative Open Data Mining Open Article Page

Exploring foci of: Applied Mathematics and Nonlinear Sciences • Vol 9 • No 1 An Exploration of the Application of Principal Component Analysis in Big Data Processing 2024 Abstract With the arrival of the significant data era, efficiently processing large-scale multidimensional data has become challenging. As a powerful data dimensionality reduction tool, Principal Component Analysis (PCA) plays a vital role in big data processing, especially in information extraction and data simplification, showing unique advantages. The research aims to simplify the data processing process and improve the data processing efficiency by PCA method. The research method adopts the basic theory of PCA… Open Article Page

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Click Data Mining Vs: Neuroscience Open Article Page

Explore Data Mining W Topic Data Mining Applied Mathematics and Nonlinear Sciences • Vol 9 • No 1 An Exploration of the Application of Principal Component Analysis in Big Data Processing 2024 Abstract With the arrival of the significant data era, efficiently processing large-scale multidimensional data has become challenging. As a powerful data dimensionality reduction tool, Principal Component Analysis (PCA) plays a vital role in big data process… Article Critical Symbolic Virtual Narrative Open Data Mining Open Article Page