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Wednesday, 01/11/2023 4:03:35 AM

Wednesday, January 11, 2023 4:03:35 AM

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WiMi Developed an AI Information Management Platform By Data Algorithm Analysis.

Source
https://www.newstrail.com/wimi-developed-an-ai-information-management-platform-by-data-algorithm-analysis/

January 6, 2023

Big data has brought an unprecedented information explosion to the Internet. It has changed the way Internet data is used and has also had a profound impact on human production and life. People living in the age of big data realize that the understanding of big data on data analysis needs to be changed from “backward analysis” to “forward analysis,” which has changed people’s way of thinking. In the age of big data, the generation and collection of data are the foundation, while data mining is the core. In big data, data mining is the most critical and valuable work. Data mining or knowledge discovery generally refers to an engineering and systematic process of mining hidden, previously unknown, but potentially useful information and patterns from a large amount of data.

The existing data mining tools, such as Weka [4], SPSS, SQL Server, etc., provide a friendly interface for user analysis, but these methods are not suitable for large-scale data analysis. When using these tools simultaneously, it is difficult for users to add new algorithm programs. To solve the limitations of existing tools and products in extensive data mining, WiMi Hologram Cloud Inc. (NASDAQ: WIMI) has developed a new platform – an artificial intelligence information management platform based on data mining algorithm analysis, and has obtained software copyright. This user-friendly data mining system supports efficient computing and rapid integration in a distributed environment. The platform supports data analysts in conducting data mining tasks quickly and effectively.

The artificial intelligence information management platform based on data mining algorithm analysis developed by WiMi Hologram Cloud Inc. (NASDAQ: WIMI) uses artificial intelligence, machine learning, and deep learning technologies to extract hidden, previously unknown, and potentially valuable information from massive data.
Its main goal is to remove superset information from many data sources and fuse them to reveal their deep structure and internal relations. Building information in a distributed heterogeneous environment can significantly reduce the complexity of building data analysis tasks caused by different physical environments and fully use the ability of distributed computing to improve the efficiency of data analysis. In addition, the computing resources of the platform can be dynamically increased or decreased, enabling it to adjust the physical computing resources online according to the number of specific analysis tasks. Finally, the friendly user interface provides excellent convenience for building different big data mining applications based on the platform.

The platform of WiMi uses a genetic algorithm, rough set method, decision tree method, and neural network method to divide the general steps of data mining into analyzing the problem: determine whether the source database meets the data mining standard; Extract, clean, and verify the data, remove the noise in the data, and obtain data with complete data and uniform format;
- Create and debug the model:
apply the selected data mining algorithm to the data to create the model and verify and adjust the model through the data to obtain the data model that meets the use requirements;
- Maintenance of data mining model:
With the increase of data volume, the change of some essential information may lead to serious model accuracy, which requires adjustment and maintenance of the model. The accuracy of severe models and model maintenance are critical links to data mining. Model maintenance can maintain the vitality of the model and continuously improve the model.

With the advent of the significant data era, the data accumulated in all walks of life is growing explosively. The demand for data mining in all fields will strengthen, and the combination with various professional areas will become more and more extensive. Whether in science or engineering, theoretical research, or real life, the artificial intelligence information management platform based on data mining algorithm analysis of WiMi will have a comprehensive development prospect.
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