WiMi Hologram Cloud Inc (WIMI)

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WIMI Effectively Solve The Problem Of Information Silo With Its Data Interaction System.

Source
https://www.newstrail.com/wimi-effectively-solve-the-problem-of-information-silo-with-its-data-interaction-system/

January 20, 2023 Time: 7:53 am

With the continuous improvement and development of the scale and technology of the information system, the degree of information technology is constantly improved, and the construction of information technology has been vigorously promoted. The number of information technology applications in various enterprises is constantly increasing, and the data exchange between applications is becoming more and more frequent. However, due to the different periods of the application system or the use of various technologies in the enterprise, the data source in each application system becomes the “information island” that cannot interact directly. How to provide solutions for the sharing and system integration of various data and information in the enterprise, provide global data view, global data authority view, and perfect data exchange service for the application system in the enterprise, solve the problem of “information island” in many application systems in the enterprise, and enable various data resources to interact between the application system has become a difficult problem.

WIMI Hologram Cloud INC. (NASDAQ: WIMI) integrates data mining technology and neural network topology visualization technology to develop a data interaction system, which meets the requirements of real-time data interaction, realizes flexible configuration of data interaction, and effectively solves the problem of “information island”. In addition, it uses encryption and redundancy checksum technology to realize secure and reliable information transmission, ensuring the integrity, accuracy, reliability, and security of the data interaction process.

Data mining is a hot topic in the field of artificial intelligence and database, which is the integration of database technology and artificial intelligence technology. The so-called data mining refers to the process of mining valuable and useful information from a large amount of data in the database, and the process of searching for hidden information from the massive data through the algorithm. At present, data mining has developed a set of mining models covering association, classification, clustering, and so on.
The whole process of data mining is as follows:
- (1) Data cleaning:
Original data used for knowledge discovery in practical applications are usually incomplete. Except for special applications such as outlier analysis, noise should be eliminated, inconsistent data should be deleted, abnormal and wrong 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:
Extract and analyze data related to the task from the database.

- (4) Data conversion:
data is converted and unified into a form suitable for mining through aggregation operations.

(5) Data mining:
As the most important step in the whole process, it is the most core operation, using automatic and intelligent methods to extract data patterns.

- (6) Pattern evaluation:
Patterns of knowledge screening according to specific interest measures.

- (7) Knowledge representation:
visualization and knowledge representation techniques are used to display the mined knowledge to users.

In data mining, WIMI uses neural network technology to classify and analyze data. The neural network has the following advantages:
- firstly, it can tolerate noise;
- Second, it provides high precision for complex nonlinear mapping.
- Third, it can be implemented on parallel hardware and has a high degree of maintainability,
- fourth, it can be easily updated with new data, and can be easily automated.

At present, the neural network has been widely used in image recognition, segmentation, speech recognition, and other fields. Using the training method of simulating human brain information transmission, the network structure can be fundamentally changed and better training performance can be obtained. The visualization of neural network topology presents the connection relationship of network nodes in the form of graphic images composed of points and lines, which can clearly and intuitively reflect the operating status of the network, assist people to evaluate, forecast, and analyze the network nodes, links, and other aspects, and effectively understand and understand the internal information, rules, and changes of the network.

Through the extraction of network topological structure features and geometric mapping, users can observe and analyze the drawing results to complete visual reception. For time-varying data, the time-varying evolution process of network structure can be shown through animation simulation and other expressions, to help users think and conclude, build a basic understanding of the timeliness of network data, and optimize the drawing results through continuous iterative interactive feedback. With the help of other hardware auxiliary devices to improve users’ cognition of the potential information characteristics and rules of large-scale complex network data.

In addition to visual presentation, WIMI’s data interaction system based on data mining and neural network topology visualization can also achieve user interaction. Interaction is a process in which users manipulate and understand data through dialogue and interaction with the system. The interactive operation effectively alleviates the contradiction between limited visualization space and data overload, helps expand the space of information expression in visualization, and solves the gap between limited space and data volume and complexity. At the same time, interaction can enable users to better participate in the understanding and analysis of data, help users explore data, and improve data cognition.

With the development of the Internet, the visualization technology of network topology develops vigorously. With the development of graphic computing and virtual reality and other emerging technologies, the research on the visualization technology of network topology has made great progress. It also has a wide range of application prospects in the aspects of network topology analysis, security situation awareness, management, and Internet modeling.

Data mining is a multidisciplinary technology. The use and combination of related algorithms and technologies vary according to different application scenarios and needs. The application of the interpretability of neural networks in data mining will also become a valuable research direction, and the theoretical research will ultimately serve specific needs and applications. How to combine the two in the application needs to be explored continuously in the future. WIMI will also conduct further exploration in this field and strive to make breakthroughs, to have a far-reaching impact on the improvement of social and economic benefits.