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WiMi Develops A Data Interaction System Based on Data Mining And Neural Network Topology Visualization
BEIJING, May 5, 2023 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR")
About this update from Wimi Hologram Cloud Inc.
[{"type":"text","content":"BEIJING, May 5, 2023 /PRNewswire/ -- WiMi Hologram Cloud Inc. (NASDAQ: WIMI) (\"WiMi\" or the \"Company\"), a leading global Hologram Augmented Reality (\"AR\") Technology provider, today announced the development of a data interaction system that integrates data mining and neural network topology visualization. The system meets the requirements of real-time data interaction, realizes flexible configuration of data interaction, and can effectively solve the problem of \"information silos.\" In addition, it achieves safe and reliable information transmission by using encryption and redundant checksum technology to ensure the integrity, accuracy, reliability, and security of the data interaction process.\nData mining is a trending topic in artificial intelligence and database research. It is the integration of database and artificial intelligence technology. The so-called data mining refers to the process of mining valuable and helpful information from a large amount of data in a database and searching for hidden information from a large amount of data through algorithms. Data mining has developed a set of mining models covering association, classification, clustering, etc. The whole process of data mining is as follows:\n(1) Data cleaning: The raw data used for knowledge discovery in practical applications usually must be completed. Except for special applications such as outlier analysis, noise should be eliminated, inconsistent data should be removed, anomalous and erroneous values should be corrected, and uncertain or incomplete values should be completed.(2) Data integration: Combining data from multiple sources and different forms into one data.(3) Data Selection: Extracts and analyzes task-relevant data from the database.(4) Data Transformation: Converting and unifying data into a form suitable for mining through aggregation operations.(5) Data mining: As the most important step in the whole process, the core operation uses automatic and intelligent methods to extract data patterns.(6) Pattern evaluation: Filtering patterns of knowledge based on specific metrics of interest.(7) Knowledge representation: Using visualization and knowledge representation techniques to display the mined knowledge to the user.\nWiMi uses neural networks for data classification and analysis in data mining. Data analysis using neural networks has ...